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As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: 4 красавіка 1557 году ў Віцебскім павеце нарадзіўся Леў Сапега, выбітны дзяржаўны дзеяч і дыплямат Вялікага княства Літоўскага. | Position Tokenization UPOS Head Deprel
1 4 ADJ 8 obl
2 красавіка NOUN 1 flat
3 1557 NUM 4 nummod
4 году NOUN 1 nmod
5 ў ADP 7 case
6 Віцебскім ADJ 7 amod
7 павеце NOUN 8 obl
8 нарадзіўся VERB 0 root
9 Леў PROPN 8 nsubj
10 Сапега PROPN 9 flat:name
11 , PUNCT 14 punct
12 выбітны ADJ 14 amod
13 дзяржаўны ADJ 14 amod
14 дзеяч NOUN 9 appos
15 і CCONJ 16 cc
16 дыплямат NOUN 14 conj
17 Вялікага ADJ 18 amod
18 княства NOUN 16 nmod
19 Літоўскага ADJ 18 obl
20 . PUNCT 8 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: Менавіта зь імем Льва Сапегі зьвязанае выданьне ў 1588 годзе Трэцяга Статуту ВКЛ і стварэнне 1581 годзе Галоўнага Трыбуналу — найвышэйшага судова-апэлцыйнае інстанцыі Вялікага Княства. | Position Tokenization UPOS Head Deprel
1 Менавіта PART 3 advmod
2 зь ADP 3 case
3 імем NOUN 6 obl
4 Льва PROPN 3 nmod
5 Сапегі PROPN 4 flat:name
6 зьвязанае VERB 0 root
7 выданьне NOUN 6 nsubj
8 ў ADP 10 case
9 1588 ADJ 10 amod
10 годзе NOUN 7 nmod
11 Трэцяга ADJ 12 amod
12 Статуту NOUN 10 nmod
13 ВКЛ PROPN 12 appos
14 і CCONJ 15 cc
15 стварэнне NOUN 10 conj
16 1581 NUM 17 nummod
17 годзе NOUN 15 nmod
18 Галоўнага ADJ 19 amod
19 Трыбуналу NOUN 17 nmod
20 — PUNCT 23 punct
21 найвышэйшага ADJ 23 amod
22 судова-апэлцыйнае ADJ 23 amod
23 інстанцыі NOUN 19 nmod
24 Вялікага ADJ 25 amod
25 Княства NOUN 23 nmod
26 . PUNCT 6 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: 🔹Прыхільнік незалежнасьці і свабоды чалавека; | Position Tokenization UPOS Head Deprel
1 🔹 SYM 2 parataxis
2 Прыхільнік NOUN 0 root
3 незалежнасьці NOUN 2 nmod
4 і CCONJ 5 cc
5 свабоды NOUN 3 conj
6 чалавека NOUN 5 nmod
7 ; PUNCT 2 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: 🔹Разглядаў права як прадукт дзейнасьці чалавечага розуму, а ня «боскага адкрыцьця». | Position Tokenization UPOS Head Deprel
1 🔹 SYM 2 parataxis
2 Разглядаў VERB 0 root
3 права NOUN 2 obj
4 як SCONJ 5 case
5 прадукт NOUN 2 obl
6 дзейнасьці NOUN 5 nmod
7 чалавечага ADJ 8 amod
8 розуму NOUN 6 nmod
9 , PUNCT 14 punct
10 а CCONJ 14 cc
11 ня PART 14 advmod
12 « PUNCT 14 punct
13 боскага ADJ 14 amod
14 адкрыцьця NOUN 6 conj
15 » PUNCT 14 punct
16 . PUNCT 2 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: 🔹Змагаўся супраць прэтэнзіяў духавенства на кіроўную ролю ў дзяржаве | Position Tokenization UPOS Head Deprel
1 🔹 SYM 2 parataxis
2 Змагаўся VERB 0 root
3 супраць ADP 4 case
4 прэтэнзіяў NOUN 2 obl
5 духавенства NOUN 4 nmod
6 на ADP 8 case
7 кіроўную ADJ 8 amod
8 ролю NOUN 4 nmod
9 ў ADP 10 case
10 дзяржаве NOUN 7 nmod |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: 🔹Быў прыхільнікам цэнтралізаванай, унутрана адзінай, шляхецка-дэмакратычнае дзяржавы. | Position Tokenization UPOS Head Deprel
1 🔹 SYM 3 parataxis
2 Быў AUX 3 cop
3 прыхільнікам NOUN 0 root
4 цэнтралізаванай ADJ 10 amod
5 , PUNCT 7 punct
6 унутрана ADV 7 advmod
7 адзінай ADJ 4 conj
8 , PUNCT 9 punct
9 шляхецка-дэмакратычнае ADJ 4 conj
10 дзяржавы NOUN 3 nmod
11 . PUNCT 3 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: 🔹Лічыў неабходным адзінага закону як для кіроўных вярхоў, так і для падданых. | Position Tokenization UPOS Head Deprel
1 🔹 SYM 2 parataxis
2 Лічыў VERB 0 root
3 неабходным ADJ 2 xcomp
4 адзінага ADJ 5 amod
5 закону NOUN 2 obj
6 як SCONJ 9 cc
7 для ADP 9 case
8 кіроўных ADJ 9 amod
9 вярхоў NOUN 3 obl
10 , PUNCT 14 punct
11 так ADV 14 cc
12 і PART 11 fixed
13 для ADP 14 case
14 падданых NOUN 9 conj
15 . PUNCT 2 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: Сьпіс менскіх мастоў з «Справочника милиционера» 1939 году. | Position Tokenization UPOS Head Deprel
1 Сьпіс NOUN 0 root
2 менскіх ADJ 3 amod
3 мастоў NOUN 1 nmod
4 з ADP 6 case
5 « PUNCT 6 punct
6 Справочника NOUN 1 nmod
7 милиционера NOUN 6 appos
8 » PUNCT 6 punct
9 1939 ADJ 10 amod
10 году NOUN 6 nmod
11 . PUNCT 1 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: Гістарычныя назвы: | Position Tokenization UPOS Head Deprel
1 Гістарычныя ADJ 2 amod
2 назвы NOUN 0 root
3 : PUNCT 2 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: 🔸Мост на вуліцы Куйбышава — Лаўскі; | Position Tokenization UPOS Head Deprel
1 🔸Мост NOUN 0 root
2 на ADP 3 case
3 вуліцы NOUN 1 nmod
4 Куйбышава PROPN 3 nmod
5 — PUNCT 4 punct
6 Лаўскі PROPN 4 nmod
7 ; PUNCT 1 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: 🔸Мост на вуліцы Горкага — Хлусаў, Аляксандраўскі; | Position Tokenization UPOS Head Deprel
1 🔸Мост NOUN 0 root
2 на ADP 3 case
3 вуліцы NOUN 1 nmod
4 Горкага PROPN 3 nmod
5 — PUNCT 1 punct
6 Хлусаў PROPN 1 appos
7 , PUNCT 8 punct
8 Аляксандраўскі PROPN 6 conj
9 ; PUNCT 1 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: 🔸Першамайскі мост — Вясёлы; | Position Tokenization UPOS Head Deprel
1 🔸Першамайскі ADJ 2 amod
2 мост NOUN 0 root
3 — PUNCT 2 punct
4 Вясёлы ADJ 2 amod
5 ; PUNCT 2 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: 🔸Пралетарскі мост — Паліцэйскі; | Position Tokenization UPOS Head Deprel
1 🔸Пралетарскі ADJ 2 amod
2 мост NOUN 0 root
3 — PUNCT 2 punct
4 Паліцэйскі ADJ 2 amod
5 ; PUNCT 2 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: 🔸Трамвайны мост на вуліцы Варашылава — Ляхаўскі, Ніжне-Ляхаўскі; | Position Tokenization UPOS Head Deprel
1 🔸Трамвайны ADJ 2 amod
2 мост NOUN 0 root
3 на ADP 4 case
4 вуліцы NOUN 2 nmod
5 Варашылава PROPN 4 nmod
6 — PUNCT 7 punct
7 Ляхаўскі ADJ 2 parataxis
8 , PUNCT 9 punct
9 Ніжне-Ляхаўскі ADJ 7 conj
10 ; PUNCT 2 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: 🔸Мост каля электрастанцыі — Захар’еўскі. | Position Tokenization UPOS Head Deprel
1 🔸Мост NOUN 0 root
2 каля ADP 3 case
3 электрастанцыі NOUN 1 nmod
4 — PUNCT 5 punct
5 Захар’еўскі PROPN 3 nmod
6 . PUNCT 1 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: Масты за выняткам Татарскага, Лаўскага і Трамвайнага на Бакуніна існуюць і сёньня, а дакладней на іх месцы збудаваныя новыя, сучасныя. | Position Tokenization UPOS Head Deprel
1 Масты NOUN 11 nsubj
2 за ADP 3 case
3 выняткам NOUN 1 nmod
4 Татарскага ADJ 3 nmod
5 , PUNCT 6 punct
6 Лаўскага ADJ 4 conj
7 і CCONJ 8 cc
8 Трамвайнага ADJ 4 conj
9 на ADP 10 case
10 Бакуніна PROPN 3 nmod
11 існуюць VERB 0 root
12 і CCONJ 13 cc
13 сёньня ADV 11 advmod
14 , PUNCT 16 punct
15 а CCONJ 16 cc
16 дакладней ADV 13 conj
17 на ADP 19 case
18 іх DET 19 det
19 месцы NOUN 16 obl
20 збудаваныя VERB 19 acl
21 новыя ADJ 20 nsubj:pass
22 , PUNCT 23 punct
23 сучасныя ADJ 20 conj
24 . PUNCT 11 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: Лаўскі мост неўзабаве адновяць як пешаходны🤞 | Position Tokenization UPOS Head Deprel
1 Лаўскі ADJ 2 amod
2 мост NOUN 4 obj
3 неўзабаве ADV 4 advmod
4 адновяць VERB 0 root
5 як SCONJ 7 case
6 пешаходны ADJ 4 obl
7 🤞 SYM 4 discourse |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: Беларускія васйсковыя фармаванні ў міжваеннае Летуве. | Position Tokenization UPOS Head Deprel
1 Беларускія ADJ 3 amod
2 васйсковыя ADJ 3 amod
3 фармаванні NOUN 0 root
4 ў ADP 6 case
5 міжваеннае ADJ 6 amod
6 Летуве PROPN 3 nmod
7 . PUNCT 3 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: 🔸на фота афіцэры Беларускага асобнага батальёну; | Position Tokenization UPOS Head Deprel
1 🔸на ADP 2 case
2 фота NOUN 0 root
3 афіцэры NOUN 2 nsubj
4 Беларускага ADJ 6 amod
5 асобнага ADJ 6 amod
6 батальёну NOUN 3 nmod
7 ; PUNCT 2 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: 🔸пячатка Беларускага пешага батальёну (пячатка на летувіскай і беларускай мовах, але з выкарыстаньнем літар дарэформеннага альфабэту) | Position Tokenization UPOS Head Deprel
1 🔸пячатка NOUN 0 root
2 Беларускага ADJ 4 amod
3 пешага ADJ 4 amod
4 батальёну NOUN 1 nmod
5 ( PUNCT 6 punct
6 пячатка NOUN 4 parataxis
7 на ADP 8 case
8 летувіскай NOUN 6 nmod
9 і CCONJ 11 cc
10 беларускай ADJ 11 amod
11 мовах NOUN 8 nmod
12 , PUNCT 15 punct
13 але CCONJ 15 cc
14 з ADP 15 case
15 выкарыстаньнем NOUN 11 conj
16 літар NOUN 15 nmod
17 дарэформеннага ADJ 18 amod
18 альфабэту NOUN 16 nmod
19 ) PUNCT 6 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: Да 50-х гадоў Менск захоўваў старажытнае замчышча, але потым яго раскапалі й пабудавалі Дом Спорту. | Position Tokenization UPOS Head Deprel
1 Да ADP 3 case
2 50-х ADJ 3 amod
3 гадоў NOUN 5 obl
4 Менск PROPN 5 nsubj
5 захоўваў VERB 0 root
6 старажытнае ADJ 7 amod
7 замчышча NOUN 5 obj
8 , PUNCT 12 punct
9 але CCONJ 12 cc
10 потым ADV 12 advmod
11 яго PRON 12 obj
12 раскапалі VERB 5 conj
13 й CCONJ 14 cc
14 пабудавалі VERB 12 conj
15 Дом NOUN 14 obl
16 Спорту NOUN 15 nmod
17 . PUNCT 5 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: На другім здымку — Будынак гарадзкога суду, які месьціўся на замчышчы. | Position Tokenization UPOS Head Deprel
1 На ADP 3 case
2 другім ADJ 3 amod
3 здымку NOUN 0 root
4 — PUNCT 3 punct
5 Будынак NOUN 3 nsubj
6 гарадзкога ADJ 7 amod
7 суду NOUN 5 nmod
8 , PUNCT 10 punct
9 які PRON 10 nsubj
10 месьціўся VERB 5 acl:relcl
11 на ADP 12 case
12 замчышчы NOUN 10 obl
13 . PUNCT 3 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: <strong>11 красавіка 1927</strong> году была прынятая другая Канстытуцыя БССР. | Position Tokenization UPOS Head Deprel
1 <strong> SYM 7 dep
2 11 NUM 3 nummod
3 красавіка NOUN 1 nmod
4 1927 ADJ 5 amod
5 </strong> SYM 10 dep
6 году NOUN 5 nmod
7 была VERB 0 root
8 прынятая VERB 10 amod
9 другая ADJ 10 amod
10 Канстытуцыя NOUN 7 nsubj:pass
11 БССР PROPN 10 nmod
12 . PUNCT 7 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: 🔹<em>Фактычна, новая Канстытуцыя была ўдакладненай вэрсіяй Канстытуцыі ССРБ 1919 году.</em> | Position Tokenization UPOS Head Deprel
1 🔹 SYM 9 parataxis
2 <em> SYM 9 dep
3 Фактычна ADV 9 advmod
4 , PUNCT 3 punct
5 новая ADJ 6 amod
6 Канстытуцыя NOUN 9 nsubj
7 была AUX 9 cop
8 ўдакладненай ADJ 9 amod
9 вэрсіяй NOUN 0 root
10 Канстытуцыі NOUN 9 nmod
11 ССРБ PROPN 10 nmod
12 1919 ADJ 13 amod
13 году NOUN 10 nmod
14 . PUNCT 9 punct
15 </em> SYM 9 dep |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: 🔹<<em>Яна складалася з 13 разьдзелаў і 76 артыкулаў.</em> | Position Tokenization UPOS Head Deprel
1 🔹< SYM 4 parataxis
2 <em> X 4 dep
3 Яна PRON 4 nsubj
4 складалася VERB 0 root
5 з ADP 7 case
6 13 NUM 7 nummod
7 разьдзелаў NOUN 4 obl
8 і CCONJ 10 cc
9 76 NUM 10 nummod
10 артыкулаў NOUN 7 conj
11 . PUNCT 4 punct
12 </em> SYM 4 dep |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: 🔹<em>Тэкст Канстытуцыі быў напісаны на 4-х мовах, якія ў той час былі дзяржаўнымі — беларуская, расейская, польская і ідыш.</em> | Position Tokenization UPOS Head Deprel
1 🔹 SYM 6 parataxis
2 <em> X 6 dep
3 Тэкст NOUN 6 nsubj:pass
4 Канстытуцыі NOUN 3 nmod
5 быў AUX 6 aux:pass
6 напісаны VERB 0 root
7 на ADP 9 case
8 4-х NUM 9 nummod
9 мовах NOUN 6 obl
10 , PUNCT 16 punct
11 якія PRON 16 nsubj
12 ў ADP 14 case
13 той DET 14 det
14 час NOUN 16 obl
15 былі AUX 16 cop
16 дзяржаўнымі ADJ 9 acl:relcl
17 — PUNCT 18 punct
18 беларуская ADJ 9 appos
19 , PUNCT 20 punct
20 расейская ADJ 18 conj
21 , PUNCT 22 punct
22 польская ADJ 18 conj
23 і CCONJ 24 cc
24 ідыш NOUN 18 conj
25 . PUNCT 6 punct
26 </em> SYM 6 dep |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: <strong>11 красавіка 1995</strong> году Аляксандар Лукашэнка выступіў у Вярхоўным Савеце з канкрэтнай прапановай плебісцыту па чатырох пытаньнях: | Position Tokenization UPOS Head Deprel
1 <strong> SYM 9 dep
2 11 NUM 3 nummod
3 красавіка NOUN 1 nmod
4 1995 ADJ 5 amod
5 </strong> SYM 3 dep
6 году NOUN 5 nmod
7 Аляксандар PROPN 1 appos
8 Лукашэнка PROPN 7 flat:name
9 выступіў VERB 0 root
10 у ADP 12 case
11 Вярхоўным ADJ 12 amod
12 Савеце NOUN 9 obl
13 з ADP 15 case
14 канкрэтнай ADJ 15 amod
15 прапановай NOUN 9 obl
16 плебісцыту NOUN 15 nmod
17 па ADP 19 case
18 чатырох NUM 19 nummod
19 пытаньнях NOUN 9 obl
20 : PUNCT 9 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: <em>1. аб наданьні расейскай мове статусу дзяржаўнай; | Position Tokenization UPOS Head Deprel
1 <em> SYM 5 dep
2 1 NUM 5 parataxis
3 . PUNCT 2 punct
4 аб ADP 5 case
5 наданьні NOUN 0 root
6 расейскай ADJ 7 amod
7 мове NOUN 5 nmod
8 статусу NOUN 7 nmod
9 дзяржаўнай ADJ 5 obl
10 ; PUNCT 5 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: 2. аб замене герба «Пагоня» і бел-чырвона-белага сьцяга новай сымболікай; | Position Tokenization UPOS Head Deprel
1 2 NUM 4 parataxis
2 . PUNCT 1 punct
3 аб ADP 4 case
4 замене NOUN 0 root
5 герба NOUN 4 nmod
6 « PUNCT 4 punct
7 Пагоня PROPN 4 parataxis
8 » PUNCT 7 punct
9 і CCONJ 11 cc
10 бел-чырвона-белага ADJ 11 amod
11 сьцяга NOUN 7 conj
12 новай ADJ 13 amod
13 сымболікай NOUN 11 nmod
14 ; PUNCT 4 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: 3. аб надзяленьні прэзыдэнта правам распускаць парлямэнт; | Position Tokenization UPOS Head Deprel
1 3 NUM 4 parataxis
2 . PUNCT 1 punct
3 аб ADP 4 case
4 надзяленьні NOUN 0 root
5 прэзыдэнта NOUN 4 nmod
6 правам NOUN 4 nmod
7 распускаць VERB 6 nmod
8 парлямэнт NOUN 7 obj
9 ; PUNCT 4 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: 4. аб эканамічнай інтэграцыі з Расеяй.</em> | Position Tokenization UPOS Head Deprel
1 4 NUM 5 parataxis
2 . PUNCT 1 punct
3 аб ADP 5 case
4 эканамічнай ADJ 5 amod
5 інтэграцыі NOUN 0 root
6 з ADP 7 case
7 Расеяй PROPN 5 nmod
8 . PUNCT 5 punct
9 </em> SYM 5 dep |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: <em></em> | Position Tokenization UPOS Head Deprel
1 <em> SYM 0 root
2 </em> SYM 1 dep |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: Нягледзячы на супраціў з боку апазыцыйных парлямэнтароў, Аляксандар Лукашэнка заявіў, што рэфэрэндум будзе праведзены ў любым выпадку — захочуць таго дэпутаты ці не. | Position Tokenization UPOS Head Deprel
1 Нягледзячы ADV 11 advmod
2 на ADP 3 case
3 супраціў NOUN 1 obl
4 з ADP 5 case
5 боку NOUN 3 nmod
6 апазыцыйных ADJ 7 amod
7 парлямэнтароў NOUN 5 nmod
8 , PUNCT 1 punct
9 Аляксандар PROPN 11 nsubj
10 Лукашэнка PROPN 9 flat:name
11 заявіў VERB 0 root
12 , PUNCT 16 punct
13 што SCONJ 16 mark
14 рэфэрэндум NOUN 16 nsubj
15 будзе AUX 16 aux:pass
16 праведзены VERB 11 ccomp
17 ў ADP 19 case
18 любым ADJ 19 amod
19 выпадку NOUN 16 obl
20 — PUNCT 21 punct
21 захочуць VERB 16 advcl
22 таго PRON 21 obj
23 дэпутаты NOUN 21 nsubj
24 ці CCONJ 25 cc
25 не PART 21 conj
26 . PUNCT 11 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: <strong>Так пачыналася "Саюзная дзяржава"</strong> | Position Tokenization UPOS Head Deprel
1 <strong> SYM 3 dep
2 Так ADV 3 advmod
3 пачыналася VERB 0 root
4 " PUNCT 6 punct
5 Саюзная ADJ 6 amod
6 дзяржава NOUN 3 nsubj
7 " PUNCT 6 punct
8 </strong> SYM 3 dep |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: <strong>9 гадоў таму адбыўся тэракт у Менскім мэтро</strong>. | Position Tokenization UPOS Head Deprel
1 <strong> SYM 5 dep
2 9 NUM 3 nummod
3 гадоў NOUN 5 obl
4 таму ADV 5 advmod
5 адбыўся VERB 0 root
6 тэракт NOUN 5 nsubj
7 у ADP 9 case
8 Менскім ADJ 9 amod
9 мэтро NOUN 5 obl
10 </strong> SYM 9 dep
11 . PUNCT 5 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: <em>Вынікі сьледзтва гэтай справы неадназначныя і выклікаюць пытаньні.</em> | Position Tokenization UPOS Head Deprel
1 <em> SYM 6 dep
2 Вынікі NOUN 6 nsubj
3 сьледзтва NOUN 2 appos
4 гэтай DET 5 det
5 справы NOUN 3 nmod
6 неадназначныя ADJ 0 root
7 і CCONJ 8 cc
8 выклікаюць VERB 6 conj
9 пытаньні NOUN 8 obj
10 . PUNCT 6 punct
11 </em> SYM 6 dep |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: Горадня ў пачатку 20-га стагодзьдзя. | Position Tokenization UPOS Head Deprel
1 Горадня PROPN 0 root
2 ў ADP 3 case
3 пачатку NOUN 1 nmod
4 20-га ADJ 5 amod
5 стагодзьдзя NOUN 3 nmod
6 . PUNCT 1 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: Фота: Я. Булгака. | Position Tokenization UPOS Head Deprel
1 Фота NOUN 0 root
2 : PUNCT 1 punct
3 Я. PROPN 1 nmod
4 Булгака PROPN 3 appos
5 . PUNCT 1 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: 🤞Праект, які спадзяемся ўбачыць сьвет. | Position Tokenization UPOS Head Deprel
1 🤞 SYM 2 parataxis
2 Праект NOUN 0 root
3 , PUNCT 6 punct
4 які PRON 6 nsubj
5 спадзяемся VERB 6 parataxis
6 ўбачыць VERB 2 acl:relcl
7 сьвет NOUN 6 obj
8 . PUNCT 2 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: Вэтэраны паўстаньня 1863-64 гадоў у міжваеннай Польшчы. | Position Tokenization UPOS Head Deprel
1 Вэтэраны NOUN 9 nsubj
2 паўстаньня NOUN 1 nmod
3 1863 ADJ 6 amod
4 - PUNCT 5 punct
5 64 NUM 3 nummod
6 гадоў NOUN 2 nmod
7 у ADP 9 case
8 міжваеннай ADJ 9 amod
9 Польшчы PROPN 0 root
10 . PUNCT 9 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: 13.04.1940 пачалася 2-я хваля дэпартацыяў з Заходняй Беларусі: акупацыйныя савецкія ўлады выслалі 24 тыс. чалавек у Сыбір, Карэлію і іншыя аддаленыя раёны СССР. | Position Tokenization UPOS Head Deprel
1 13 NUM 6 nummod
2 . PUNCT 1 punct
3 04 NUM 1 nummod
4 . PUNCT 1 punct
5 1940 ADJ 7 amod
6 пачалася VERB 0 root
7 2-я NOUN 6 obl
8 хваля NOUN 6 nsubj
9 дэпартацыяў NOUN 8 nmod
10 з ADP 12 case
11 Заходняй ADJ 12 amod
12 Беларусі PROPN 8 nmod
13 : PUNCT 12 punct
14 акупацыйныя ADJ 16 amod
15 савецкія ADJ 16 amod
16 ўлады NOUN 17 nsubj
17 выслалі VERB 12 parataxis
18 24 NUM 19 nummod
19 тыс. NOUN 17 obl
20 чалавек NOUN 19 nmod
21 у ADP 22 case
22 Сыбір PROPN 17 obl
23 , PUNCT 24 punct
24 Карэлію PROPN 22 conj
25 і CCONJ 28 cc
26 іншыя ADJ 28 amod
27 аддаленыя ADJ 28 amod
28 раёны NOUN 22 conj
29 СССР PROPN 28 nmod
30 . PUNCT 6 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: За некалькі месяцаў перад гэтым Заходняя Беларусь была акупаваная і пазьней анэксіяваная Савецкім Саюзам пасьля сумеснага савецка-нацыстоўскага нападу на Польшчу. | Position Tokenization UPOS Head Deprel
1 За ADP 3 case
2 некалькі NUM 3 nummod
3 месяцаў NOUN 8 obl
4 перад ADP 5 case
5 гэтым PRON 3 obl
6 Заходняя ADJ 7 amod
7 Беларусь PROPN 8 nsubj
8 была VERB 0 root
9 акупаваная VERB 8 xcomp
10 і CCONJ 12 cc
11 пазьней ADV 12 advmod
12 анэксіяваная VERB 9 conj
13 Савецкім ADJ 14 amod
14 Саюзам NOUN 12 obl
15 пасьля ADP 18 case
16 сумеснага ADJ 18 amod
17 савецка-нацыстоўскага ADJ 18 amod
18 нападу NOUN 12 obl
19 на ADP 20 case
20 Польшчу PROPN 18 nmod
21 . PUNCT 8 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: Большасьць дэпартаваных склалі жанчыны, дзеці і асобы сталага ўзросту. | Position Tokenization UPOS Head Deprel
1 Большасьць NOUN 3 obj
2 дэпартаваных VERB 1 nmod
3 склалі VERB 0 root
4 жанчыны NOUN 3 nsubj
5 , PUNCT 6 punct
6 дзеці NOUN 4 conj
7 і CCONJ 8 cc
8 асобы NOUN 4 conj
9 сталага ADJ 10 amod
10 ўзросту NOUN 8 nmod
11 . PUNCT 3 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: Многія паміралі ў дарозе ці на новых месцах рассяленьня. | Position Tokenization UPOS Head Deprel
1 Многія ADJ 2 nsubj
2 паміралі VERB 0 root
3 ў ADP 4 case
4 дарозе NOUN 2 obl
5 ці CCONJ 8 cc
6 на ADP 8 case
7 новых ADJ 8 amod
8 месцах NOUN 4 conj
9 рассяленьня NOUN 8 nmod
10 . PUNCT 2 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: Першая хваля дэпартацыі з Заходняй Беларусі пасьля яе ўзьяднаньня з Усходняй Беларусьсю пад савецкай акупацыяй адбылася ў лютым 1940 году. | Position Tokenization UPOS Head Deprel
1 Першая ADJ 2 amod
2 хваля NOUN 16 nsubj
3 дэпартацыі NOUN 2 nmod
4 з ADP 6 case
5 Заходняй ADJ 6 amod
6 Беларусі PROPN 3 nmod
7 пасьля ADP 9 case
8 яе DET 9 det
9 ўзьяднаньня NOUN 16 obl
10 з ADP 12 case
11 Усходняй ADJ 12 amod
12 Беларусьсю PROPN 9 nmod
13 пад ADP 15 case
14 савецкай ADJ 15 amod
15 акупацыяй NOUN 16 obl
16 адбылася VERB 0 root
17 ў ADP 18 case
18 лютым NOUN 16 obl
19 1940 ADJ 20 amod
20 году NOUN 18 nmod
21 . PUNCT 16 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: Тады з рэгіёну было дэпартавана больш за 50 тысячаў чалавек. | Position Tokenization UPOS Head Deprel
1 Тады ADV 5 advmod
2 з ADP 3 case
3 рэгіёну NOUN 5 obl
4 было AUX 5 aux:pass
5 дэпартавана VERB 0 root
6 больш ADV 5 nsubj:pass
7 за ADP 9 case
8 50 NUM 9 nummod
9 тысячаў NOUN 6 obl
10 чалавек NOUN 9 nmod
11 . PUNCT 5 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: Трэцяя хваля дэпартацыі адбылася 29 чэрвеня 1940 году (22 879 асобаў), чацьвёртая – у чэрвені 1941 г. | Position Tokenization UPOS Head Deprel
1 Трэцяя ADJ 2 amod
2 хваля NOUN 4 nsubj
3 дэпартацыі NOUN 2 nmod
4 адбылася VERB 0 root
5 29 ADJ 4 obl
6 чэрвеня NOUN 5 flat
7 1940 ADJ 8 amod
8 году NOUN 5 nmod
9 ( PUNCT 12 punct
10 22 ADJ 12 amod
11 879 NUM 10 nummod
12 асобаў NOUN 8 parataxis
13 ) PUNCT 12 punct
14 , PUNCT 15 punct
15 чацьвёртая ADJ 4 conj
16 – PUNCT 18 punct
17 у ADP 18 case
18 чэрвені NOUN 15 orphan
19 1941 ADJ 20 amod
20 г NOUN 18 nmod
21 . PUNCT 4 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: (22 353 асобаў). | Position Tokenization UPOS Head Deprel
1 ( PUNCT 2 punct
2 22 ADJ 0 root
3 353 NUM 2 nummod
4 асобаў NOUN 2 nmod
5 ) PUNCT 2 punct
6 . PUNCT 2 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: Такім чынам, агулам за 1940-1941 гады зь Беларусі ў аддаленыя, часта мала прыдатныя для жыцьця, раёны СССР, было дэпартавана ня менш за 120 тысяч чалавек - больш, чым з усіх краінаў Балтыі ў той жа час. | Position Tokenization UPOS Head Deprel
1 Такім DET 2 det
2 чынам NOUN 25 obl
3 , PUNCT 9 punct
4 агулам ADV 9 advmod
5 за ADP 9 case
6 1940 ADJ 8 compound
7 - PUNCT 6 punct
8 1941 ADJ 9 amod
9 гады NOUN 2 conj
10 зь ADP 11 case
11 Беларусі PROPN 9 nmod
12 ў ADP 21 case
13 аддаленыя ADJ 21 amod
14 , PUNCT 13 punct
15 часта ADV 16 advmod
16 мала ADV 17 advmod
17 прыдатныя ADJ 21 amod
18 для ADP 19 case
19 жыцьця NOUN 17 obl
20 , PUNCT 17 punct
21 раёны NOUN 9 nmod
22 СССР PROPN 21 nmod
23 , PUNCT 2 punct
24 было AUX 25 aux:pass
25 дэпартавана VERB 0 root
26 ня PART 27 advmod
27 менш ADV 25 advmod
28 за ADP 30 case
29 120 NUM 30 nummod
30 тысяч NOUN 25 obl
31 чалавек NOUN 30 nmod
32 - PUNCT 33 punct
33 больш ADV 30 parataxis
34 , PUNCT 38 punct
35 чым SCONJ 38 case
36 з ADP 38 case
37 усіх DET 38 det
38 краінаў NOUN 33 obl
39 Балтыі PROPN 38 nmod
40 ў ADP 43 case
41 той DET 43 det
42 жа PART 43 advmod
43 час NOUN 38 nmod
44 . PUNCT 25 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: Беласток у складзе БССР. | Position Tokenization UPOS Head Deprel
1 Беласток PROPN 3 nsubj
2 у ADP 3 case
3 складзе NOUN 0 root
4 БССР PROPN 3 nmod
5 . PUNCT 3 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: Да саветаў гатэль “Эўропа” называўся “Ritz”. | Position Tokenization UPOS Head Deprel
1 Да ADP 2 case
2 саветаў NOUN 7 obl
3 гатэль NOUN 7 nsubj
4 “ PUNCT 5 punct
5 Эўропа PROPN 3 appos
6 ” PUNCT 5 punct
7 называўся VERB 0 root
8 “ PUNCT 9 punct
9 Ritz X 7 xcomp
10 ” PUNCT 9 punct
11 . PUNCT 7 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: Пазнаеце месца? | Position Tokenization UPOS Head Deprel
1 Пазнаеце VERB 0 root
2 месца NOUN 1 obj
3 ? PUNCT 1 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: Так, гэта плошча свабоды, але яшчэ відаць тралейбусныя правады, а ў сабор сьв. Дзевы Марыі яшчэ месьціцца палац спартовага таварыства «Спартак». | Position Tokenization UPOS Head Deprel
1 Так ADV 4 parataxis
2 , PUNCT 1 punct
3 гэта PRON 4 nsubj
4 плошча NOUN 0 root
5 свабоды NOUN 4 nmod
6 , PUNCT 9 punct
7 але CCONJ 9 cc
8 яшчэ ADV 9 advmod
9 відаць VERB 4 conj
10 тралейбусныя ADJ 11 amod
11 правады NOUN 9 obj
12 , PUNCT 15 punct
13 а CCONJ 15 cc
14 ў ADP 15 case
15 сабор NOUN 4 conj
16 сьв. NOUN 15 nmod
17 Дзевы NOUN 16 nmod
18 Марыі PROPN 17 nmod
19 яшчэ ADV 20 advmod
20 месьціцца VERB 9 conj
21 палац NOUN 20 nsubj
22 спартовага ADJ 23 amod
23 таварыства NOUN 21 nmod
24 « PUNCT 25 punct
25 Спартак PROPN 23 appos
26 » PUNCT 25 punct
27 . PUNCT 4 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: Менск 80-я гг | Position Tokenization UPOS Head Deprel
1 Менск PROPN 3 nsubj
2 80-я ADJ 3 amod
3 гг NOUN 0 root |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: Вокладка сцэнару аўтарскай перадачы Ўладзіміра Караткевіча «Спадчына». | Position Tokenization UPOS Head Deprel
1 Вокладка NOUN 0 root
2 сцэнару NOUN 1 nmod
3 аўтарскай ADJ 4 amod
4 перадачы NOUN 2 nmod
5 Ўладзіміра PROPN 2 appos
6 Караткевіча PROPN 5 flat:name
7 « PUNCT 8 punct
8 Спадчына ADV 5 conj
9 » PUNCT 8 punct
10 . PUNCT 1 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: Беларусь у складзе зборнай краін былога СССР (без краін Балтыі) на адкрыцьці Алімпіскіх гульняў у Барсэлёне, 1992. | Position Tokenization UPOS Head Deprel
1 Беларусь PROPN 0 root
2 у ADP 3 case
3 складзе NOUN 1 nmod
4 зборнай NOUN 3 nmod
5 краін NOUN 4 nmod
6 былога ADJ 7 amod
7 СССР PROPN 5 nmod
8 ( PUNCT 10 punct
9 без ADP 10 case
10 краін NOUN 7 parataxis
11 Балтыі PROPN 10 nmod
12 ) PUNCT 10 punct
13 на ADP 14 case
14 адкрыцьці NOUN 3 nmod
15 Алімпіскіх ADJ 16 amod
16 гульняў NOUN 14 nmod
17 у ADP 18 case
18 Барсэлёне PROPN 3 nmod
19 , PUNCT 20 punct
20 1992 ADJ 18 conj
21 . PUNCT 1 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: 🔸Першы раз калі Бел-чырвона-белы сьцяг зьявіўся на цырымоніі адкрыцьця гульняў. | Position Tokenization UPOS Head Deprel
1 🔸Першы ADJ 2 amod
2 раз NOUN 6 obl
3 калі SCONJ 6 mark
4 Бел-чырвона-белы ADJ 5 amod
5 сьцяг NOUN 6 nsubj
6 зьявіўся VERB 0 root
7 на ADP 8 case
8 цырымоніі NOUN 6 obl
9 адкрыцьця NOUN 8 nmod
10 гульняў NOUN 9 nmod
11 . PUNCT 6 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: Менск 1942 год. | Position Tokenization UPOS Head Deprel
1 Менск PROPN 3 nsubj
2 1942 ADJ 3 amod
3 год NOUN 0 root
4 . PUNCT 3 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: Від з вокнаў Дому Ураду ў кірунку цэнтру места. | Position Tokenization UPOS Head Deprel
1 Від NOUN 9 nsubj
2 з ADP 3 case
3 вокнаў NOUN 1 nmod
4 Дому NOUN 3 nmod
5 Ураду NOUN 4 nmod
6 ў ADP 7 case
7 кірунку NOUN 4 nmod
8 цэнтру NOUN 7 nmod
9 места ADV 0 root
10 . PUNCT 9 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: 🔹 У правым баку «Чырвоны касьцёл», троху далей у цэнтры «Харальная сынагога» зьлева будынак «фабрыкі-кухні». | Position Tokenization UPOS Head Deprel
1 🔹 SYM 4 parataxis
2 У ADP 4 case
3 правым ADJ 4 amod
4 баку NOUN 0 root
5 « PUNCT 7 punct
6 Чырвоны ADJ 7 amod
7 касьцёл NOUN 4 nsubj
8 » PUNCT 7 punct
9 , PUNCT 11 punct
10 троху ADV 11 advmod
11 далей ADV 4 conj
12 у ADP 13 case
13 цэнтры NOUN 11 obl
14 « PUNCT 16 punct
15 Харальная ADJ 16 amod
16 сынагога NOUN 11 nsubj
17 » PUNCT 16 punct
18 зьлева ADV 4 conj
19 будынак NOUN 18 nsubj
20 « PUNCT 21 punct
21 фабрыкі-кухні NOUN 19 nmod
22 » PUNCT 21 punct
23 . PUNCT 4 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: 🔹 Цэнтральная забудова места моцна пашкоджаная бамбаваньнямі. | Position Tokenization UPOS Head Deprel
1 🔹 SYM 6 parataxis
2 Цэнтральная ADJ 3 amod
3 забудова NOUN 6 nsubj:pass
4 места NOUN 3 nmod
5 моцна ADV 6 advmod
6 пашкоджаная VERB 0 root
7 бамбаваньнямі NOUN 6 obl
8 . PUNCT 6 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: #лікбез | Position Tokenization UPOS Head Deprel
1 #лікбез X 0 root |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: Польскія шпіёны ў даваеннай БССР. | Position Tokenization UPOS Head Deprel
1 Польскія ADJ 2 amod
2 шпіёны NOUN 0 root
3 ў ADP 5 case
4 даваеннай ADJ 5 amod
5 БССР PROPN 2 nmod
6 . PUNCT 2 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: Артыкул гісторыка І.Мельнікава на "Новым часе": | Position Tokenization UPOS Head Deprel
1 Артыкул NOUN 0 root
2 гісторыка NOUN 1 nmod
3 І PROPN 2 appos
4 . PUNCT 3 punct
5 Мельнікава PROPN 3 flat:name
6 на ADP 9 case
7 " PUNCT 9 punct
8 Новым ADJ 9 amod
9 часе NOUN 1 nmod
10 " PUNCT 9 punct
11 : PUNCT 1 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: Самы раньні зь вядомых Купалавых вершаў «Мая доля» напісаны лацінкай! | Position Tokenization UPOS Head Deprel
1 Самы ADJ 11 amod
2 раньні ADJ 11 amod
3 зь ADP 6 case
4 вядомых ADJ 6 amod
5 Купалавых ADJ 6 amod
6 вершаў NOUN 11 obl
7 « PUNCT 9 punct
8 Мая DET 9 det
9 доля NOUN 11 nsubj
10 » PUNCT 9 punct
11 напісаны VERB 0 root
12 лацінкай NOUN 11 obl
13 ! PUNCT 11 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: Рукапіс датаваны 15 ліпеня 1904 год, цяпер захоўваецца ў Нацыянальным архіве Рэспублікі Беларусі. | Position Tokenization UPOS Head Deprel
1 Рукапіс NOUN 2 nsubj:pass
2 датаваны VERB 0 root
3 15 ADJ 2 iobj
4 ліпеня NOUN 3 flat
5 1904 ADJ 6 amod
6 год NOUN 3 nmod
7 , PUNCT 9 punct
8 цяпер ADV 9 advmod
9 захоўваецца VERB 2 conj
10 ў ADP 12 case
11 Нацыянальным ADJ 12 amod
12 архіве NOUN 9 obl
13 Рэспублікі NOUN 12 nmod
14 Беларусі PROPN 13 nmod
15 . PUNCT 2 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: Сайт AROLSEN адкрыў доступ да сканаў дакумэнтаў з акупаваных у Другую усясьветную вайну краінаў, у тым ліку Беларусі. | Position Tokenization UPOS Head Deprel
1 Сайт NOUN 3 nsubj
2 AROLSEN X 1 appos
3 адкрыў VERB 0 root
4 доступ NOUN 3 obj
5 да ADP 6 case
6 сканаў NOUN 4 nmod
7 дакумэнтаў NOUN 6 nmod
8 з ADP 14 case
9 акупаваных VERB 14 acl
10 у ADP 13 case
11 Другую ADJ 13 amod
12 усясьветную ADJ 13 amod
13 вайну NOUN 9 obl
14 краінаў NOUN 7 nmod
15 , PUNCT 18 punct
16 у ADP 18 case
17 тым DET 18 det
18 ліку NOUN 3 obl
19 Беларусі PROPN 18 nmod
20 . PUNCT 3 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: Тут можна знайсьці заявы беларусаў з просьбаю ўзяць іх на працу ў Нямеччыну. | Position Tokenization UPOS Head Deprel
1 Тут ADV 2 advmod
2 можна VERB 0 root
3 знайсьці VERB 2 csubj
4 заявы NOUN 3 obj
5 беларусаў NOUN 4 nmod
6 з ADP 7 case
7 просьбаю NOUN 3 obl
8 ўзяць VERB 7 nmod
9 іх PRON 8 obj
10 на ADP 11 case
11 працу NOUN 8 obl
12 ў ADP 13 case
13 Нямеччыну PROPN 11 nmod
14 . PUNCT 2 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: Што асабліва цікава да заявак дадаюцца аўтабіяграфіі, зь якіх можна атрымаць вялізарны аб’ём інфармацыі пра камуністычны тэрор у Беларусі. | Position Tokenization UPOS Head Deprel
1 Што PRON 3 nsubj
2 асабліва ADV 3 advmod
3 цікава ADJ 6 advcl
4 да ADP 5 case
5 заявак NOUN 3 obl
6 дадаюцца VERB 0 root
7 аўтабіяграфіі NOUN 6 nsubj
8 , PUNCT 11 punct
9 зь ADP 10 case
10 якіх PRON 12 obl
11 можна VERB 7 acl:relcl
12 атрымаць VERB 11 csubj
13 вялізарны ADJ 14 amod
14 аб’ём NOUN 12 obj
15 інфармацыі NOUN 14 nmod
16 пра ADP 18 case
17 камуністычны ADJ 18 amod
18 тэрор NOUN 15 nmod
19 у ADP 20 case
20 Беларусі PROPN 18 nmod
21 . PUNCT 6 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: Нямецкія жаўнеры рыбачаць на Дзьвіне. | Position Tokenization UPOS Head Deprel
1 Нямецкія ADJ 2 amod
2 жаўнеры NOUN 3 nsubj
3 рыбачаць VERB 0 root
4 на ADP 5 case
5 Дзьвіне PROPN 3 obl
6 . PUNCT 3 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: Раён Полацку 1918 | Position Tokenization UPOS Head Deprel
1 Раён NOUN 3 nsubj
2 Полацку PROPN 1 nmod
3 1918 ADJ 0 root |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: Міжваенная Горадня | Position Tokenization UPOS Head Deprel
1 Міжваенная ADJ 2 amod
2 Горадня PROPN 0 root |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: 26 красавіка 1986 года 1 час 23 хвіліны 47 сэкунд. | Position Tokenization UPOS Head Deprel
1 26 ADJ 0 root
2 красавіка NOUN 1 flat
3 1986 ADJ 4 amod
4 года NOUN 1 nmod
5 1 NUM 6 nummod
6 час NOUN 1 nmod
7 23 NUM 8 nummod
8 хвіліны NOUN 6 nmod
9 47 NUM 10 nummod:gov
10 сэкунд NOUN 6 nmod
11 . PUNCT 1 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: Некалькі моцных выбухаў, пажар і выкід радыяактыўнага рэчава ў атмасфэру. | Position Tokenization UPOS Head Deprel
1 Некалькі NUM 3 nummod
2 моцных ADJ 3 amod
3 выбухаў NOUN 0 root
4 , PUNCT 5 punct
5 пажар NOUN 3 conj
6 і CCONJ 7 cc
7 выкід NOUN 3 conj
8 радыяактыўнага ADJ 9 amod
9 рэчава NOUN 7 nmod
10 ў ADP 11 case
11 атмасфэру NOUN 7 nmod
12 . PUNCT 3 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: Гэтыя падзеі назаўсёды змяніла жыцці мільёнаў людзей. | Position Tokenization UPOS Head Deprel
1 Гэтыя DET 2 det
2 падзеі NOUN 4 nsubj
3 назаўсёды ADV 4 advmod
4 змяніла VERB 0 root
5 жыцці NOUN 4 obj
6 мільёнаў NOUN 5 nmod
7 людзей NOUN 6 nmod
8 . PUNCT 4 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: Аварыя на 4-м энэргаблёку Чарнобыльскай атамнай электрастанцыі (ЧАЭС) стала катастрофай, якая забіла тысячы і атруціла жыцьці сотняў тысяч людзей. | Position Tokenization UPOS Head Deprel
1 Аварыя NOUN 11 nsubj
2 на ADP 4 case
3 4-м ADJ 4 amod
4 энэргаблёку NOUN 1 nmod
5 Чарнобыльскай ADJ 7 amod
6 атамнай ADJ 7 amod
7 электрастанцыі NOUN 4 nmod
8 ( PUNCT 9 punct
9 ЧАЭС PROPN 7 parataxis
10 ) PUNCT 9 punct
11 стала VERB 0 root
12 катастрофай NOUN 11 xcomp
13 , PUNCT 15 punct
14 якая PRON 15 nsubj
15 забіла VERB 12 acl:relcl
16 тысячы NOUN 15 obj
17 і CCONJ 18 cc
18 атруціла VERB 15 conj
19 жыцьці NOUN 18 obj
20 сотняў NOUN 19 nmod
21 тысяч NOUN 20 nmod
22 людзей NOUN 21 nmod
23 . PUNCT 11 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: На Беларусь выпала больш за 60% радыёактыўнага пылу, які ўзьняўся з ахопленай полымем АЭС. | Position Tokenization UPOS Head Deprel
1 На ADP 2 case
2 Беларусь PROPN 3 obl
3 выпала VERB 0 root
4 больш ADV 3 advmod
5 за ADP 7 case
6 60 NUM 7 nummod
7 % SYM 4 parataxis
8 радыёактыўнага ADJ 9 amod
9 пылу NOUN 7 nmod
10 , PUNCT 12 punct
11 які PRON 12 nsubj
12 ўзьняўся VERB 9 acl:relcl
13 з ADP 16 case
14 ахопленай VERB 16 acl
15 полымем NOUN 14 obl
16 АЭС NOUN 12 obl
17 . PUNCT 3 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: Была забруджаная чвэрць тэрыторыі краіны. | Position Tokenization UPOS Head Deprel
1 Была AUX 2 aux:pass
2 забруджаная VERB 0 root
3 чвэрць NOUN 2 nsubj:pass
4 тэрыторыі NOUN 3 nmod
5 краіны NOUN 4 nmod
6 . PUNCT 2 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: Найбольш пацярпелі Гомельская і Магілёўская вобласьці. | Position Tokenization UPOS Head Deprel
1 Найбольш ADV 2 advmod
2 пацярпелі VERB 0 root
3 Гомельская ADJ 6 amod
4 і CCONJ 5 cc
5 Магілёўская ADJ 3 conj
6 вобласьці NOUN 2 nsubj
7 . PUNCT 2 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: У зоне высокай забруджанасьці радыяактыўным цэзіем-137 апынуліся больш за 2,2 млн чалавек, то бо пятая частка жыхароў Беларусі. | Position Tokenization UPOS Head Deprel
1 У ADP 2 case
2 зоне NOUN 9 obl
3 высокай ADJ 4 amod
4 забруджанасьці NOUN 2 nmod
5 радыяактыўным ADJ 6 amod
6 цэзіем NOUN 4 nmod
7 - PUNCT 8 punct
8 137 NUM 6 appos
9 апынуліся VERB 0 root
10 больш ADV 12 advmod
11 за ADP 10 fixed
12 2,2 NUM 13 nummod:gov
13 млн NOUN 14 nummod
14 чалавек NOUN 9 nsubj
15 , PUNCT 19 punct
16 то SCONJ 19 mark
17 бо SCONJ 16 fixed
18 пятая ADJ 19 amod
19 частка NOUN 14 conj
20 жыхароў NOUN 19 nmod
21 Беларусі PROPN 20 nmod
22 . PUNCT 9 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: Савецкія улады замоўчвалі ад грамадзтва інфармацыю пра аварыю і небясьпеку радыяцыйных ападкаў . | Position Tokenization UPOS Head Deprel
1 Савецкія ADJ 2 amod
2 улады NOUN 3 nsubj
3 замоўчвалі VERB 0 root
4 ад ADP 5 case
5 грамадзтва NOUN 3 obl
6 інфармацыю NOUN 3 obj
7 пра ADP 8 case
8 аварыю NOUN 6 nmod
9 і CCONJ 10 cc
10 небясьпеку NOUN 8 conj
11 радыяцыйных ADJ 12 amod
12 ападкаў NOUN 10 nmod
13 . PUNCT 3 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: У пэрыяд, калі ў атмасфэры ўтрымлівалася найбольшая канцэнтрацыя радыяактыўнага пылу, каб не пашыраць плёткі, былі праведзеныя традыцыйныя першатравеньскія дэманстрацыі, у якіх, як і штогод, удзельнічала большасьць жыхароў забруджанай зоны. | Position Tokenization UPOS Head Deprel
1 У ADP 2 case
2 пэрыяд NOUN 19 obl
3 , PUNCT 7 punct
4 калі SCONJ 7 mark
5 ў ADP 6 case
6 атмасфэры NOUN 7 obl
7 ўтрымлівалася VERB 2 acl
8 найбольшая ADJ 9 amod
9 канцэнтрацыя NOUN 7 nsubj
10 радыяактыўнага ADJ 11 amod
11 пылу NOUN 9 nmod
12 , PUNCT 7 punct
13 каб SCONJ 15 mark
14 не PART 15 advmod
15 пашыраць VERB 19 advcl
16 плёткі NOUN 15 obj
17 , PUNCT 15 punct
18 былі AUX 22 cop
19 праведзеныя VERB 0 root
20 традыцыйныя ADJ 22 amod
21 першатравеньскія ADJ 22 amod
22 дэманстрацыі NOUN 19 nsubj:pass
23 , PUNCT 31 punct
24 у ADP 25 case
25 якіх PRON 31 obl
26 , PUNCT 29 punct
27 як SCONJ 29 case
28 і PART 29 advmod
29 штогод ADV 31 advmod
30 , PUNCT 29 punct
31 удзельнічала VERB 22 acl:relcl
32 большасьць NOUN 31 nsubj
33 жыхароў NOUN 32 nmod
34 забруджанай VERB 35 amod
35 зоны NOUN 33 nmod
36 . PUNCT 19 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: Пад радыяактыўным небам маршыравалі дзеці і моладзь. | Position Tokenization UPOS Head Deprel
1 Пад ADP 3 case
2 радыяактыўным ADJ 3 amod
3 небам NOUN 4 obl
4 маршыравалі VERB 0 root
5 дзеці NOUN 4 obj
6 і CCONJ 7 cc
7 моладзь NOUN 5 conj
8 . PUNCT 4 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: Калі весткі пра Чарнобыль дайшлі да грамадзтва, камуністычная прапаганда зьменшала памеры катастрофы, пераконвала насельніцтва, што знаходжаньне на забруджаных тэрыторыях цалкам бясьпечнае. | Position Tokenization UPOS Head Deprel
1 Калі SCONJ 5 mark
2 весткі NOUN 5 nsubj
3 пра ADP 4 case
4 Чарнобыль PROPN 2 nmod
5 дайшлі VERB 0 root
6 да ADP 7 case
7 грамадзтва NOUN 5 obl
8 , PUNCT 11 punct
9 камуністычная ADJ 10 amod
10 прапаганда NOUN 11 nsubj
11 зьменшала VERB 5 conj
12 памеры NOUN 11 obj
13 катастрофы NOUN 12 nmod
14 , PUNCT 15 punct
15 пераконвала VERB 5 conj
16 насельніцтва NOUN 15 obj
17 , PUNCT 24 punct
18 што SCONJ 24 mark
19 знаходжаньне NOUN 24 nsubj
20 на ADP 22 case
21 забруджаных VERB 22 amod
22 тэрыторыях NOUN 19 nmod
23 цалкам ADV 24 advmod
24 бясьпечнае ADJ 5 conj
25 . PUNCT 5 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: Ліст дырэктара ЧАЭС Бруханава да абкаму партыі пра аварыю. | Position Tokenization UPOS Head Deprel
1 Ліст NOUN 0 root
2 дырэктара NOUN 1 nmod
3 ЧАЭС PROPN 2 appos
4 Бруханава PROPN 3 flat:name
5 да ADP 6 case
6 абкаму NOUN 1 nmod
7 партыі NOUN 6 nmod
8 пра ADP 9 case
9 аварыю NOUN 6 nmod
10 . PUNCT 1 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: Дата ліста не пазначаная, але відаць, што неўзабаве пасьля падзеі. | Position Tokenization UPOS Head Deprel
1 Дата NOUN 4 nsubj
2 ліста NOUN 1 nmod
3 не PART 4 advmod
4 пазначаная VERB 0 root
5 , PUNCT 7 punct
6 але CCONJ 7 cc
7 відаць VERB 4 conj
8 , PUNCT 12 punct
9 што SCONJ 12 mark
10 неўзабаве ADV 12 advmod
11 пасьля ADP 12 case
12 падзеі NOUN 4 conj
13 . PUNCT 4 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: Узята <a href="https://t.me/kgbfiles">KGB files</a> | Position Tokenization UPOS Head Deprel
1 Узята VERB 0 root
2 < SYM 1 dep
3 a X 2 flat:foreign
4 href= X 2 appos
5 " PUNCT 4 punct
6 https://t.me/kgbfiles X 4 flat:foreign
7 " PUNCT 8 punct
8 > SYM 4 parataxis
9 KGB X 1 obl
10 files X 9 flat:foreign
11 </a> SYM 8 dep |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: Падрыхтоўка для прыборкі радяактыўных аскепкаў з даку ЧАЭС, красавік-травень 1986 год | Position Tokenization UPOS Head Deprel
1 Падрыхтоўка NOUN 0 root
2 для ADP 3 case
3 прыборкі NOUN 1 nmod
4 радяактыўных ADJ 5 amod
5 аскепкаў NOUN 3 nmod
6 з ADP 7 case
7 даку NOUN 1 nmod
8 ЧАЭС PROPN 7 appos
9 , PUNCT 10 punct
10 красавік-травень NOUN 1 conj
11 1986 ADJ 12 amod
12 год NOUN 10 nmod |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: Убіраньне радыяактыўных аксепкаў і забруджаных канструкцыяў на даху ЧАЭС выглядала вось так. | Position Tokenization UPOS Head Deprel
1 Убіраньне NOUN 10 nsubj
2 радыяактыўных ADJ 3 amod
3 аксепкаў NOUN 1 nmod
4 і CCONJ 6 cc
5 забруджаных VERB 6 amod
6 канструкцыяў NOUN 3 conj
7 на ADP 8 case
8 даху NOUN 6 nmod
9 ЧАЭС PROPN 8 appos
10 выглядала VERB 0 root
11 вось PART 12 advmod
12 так ADV 10 advmod
13 . PUNCT 10 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: «Чарнобыльскі шлях» у Менску 90-е | Position Tokenization UPOS Head Deprel
1 « PUNCT 3 punct
2 Чарнобыльскі ADJ 3 amod
3 шлях NOUN 7 nsubj
4 » PUNCT 3 punct
5 у ADP 6 case
6 Менску PROPN 3 nmod
7 90-е ADJ 0 root |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: Віцебск пад нямецкай акупацыяй 1941-44 гадах. | Position Tokenization UPOS Head Deprel
1 Віцебск PROPN 0 root
2 пад ADP 4 case
3 нямецкай ADJ 4 amod
4 акупацыяй NOUN 1 nmod
5 1941 ADJ 8 amod
6 - PUNCT 7 punct
7 44 NUM 5 nummod
8 гадах NOUN 4 nmod
9 . PUNCT 1 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: У пачатку ХІХ стагодзьдзя ў Менску адбылася падзея, якая мела далёкасяжныя наступствы для ўсёй сусьветнай мэдыцыны. | Position Tokenization UPOS Head Deprel
1 У ADP 2 case
2 пачатку NOUN 7 obl
3 ХІХ ADJ 4 amod
4 стагодзьдзя NOUN 2 nmod
5 ў ADP 6 case
6 Менску PROPN 4 nmod
7 адбылася VERB 0 root
8 падзея NOUN 7 nsubj
9 , PUNCT 11 punct
10 якая PRON 11 nsubj
11 мела VERB 8 acl:relcl
12 далёкасяжныя ADJ 13 amod
13 наступствы NOUN 11 obj
14 для ADP 17 case
15 ўсёй DET 17 det
16 сусьветнай ADJ 17 amod
17 мэдыцыны NOUN 13 nmod
18 . PUNCT 7 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: У студзені 1812 году інспэктар Менскай лекарскай управы Карл Гібэнталь упершыню ў гісторыі выкарыстаў гіпс, каб замацаваць зламаныя косьці чалавека. | Position Tokenization UPOS Head Deprel
1 У ADP 2 case
2 студзені NOUN 14 obl
3 1812 ADJ 4 amod
4 году NOUN 2 nmod
5 інспэктар NOUN 14 nsubj
6 Менскай ADJ 8 amod
7 лекарскай ADJ 8 amod
8 управы NOUN 5 nmod
9 Карл PROPN 5 appos
10 Гібэнталь PROPN 9 flat:name
11 упершыню ADV 14 advmod
12 ў ADP 13 case
13 гісторыі NOUN 11 obl
14 выкарыстаў VERB 0 root
15 гіпс NOUN 14 obj
16 , PUNCT 18 punct
17 каб SCONJ 18 mark
18 замацаваць VERB 14 advcl
19 зламаныя VERB 20 amod
20 косьці NOUN 18 obj
21 чалавека NOUN 20 nmod
22 . PUNCT 14 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: Адкрыцьцё помніку Янку Купалу ў Менску 1972 год. | Position Tokenization UPOS Head Deprel
1 Адкрыцьцё NOUN 0 root
2 помніку NOUN 1 nmod
3 Янку PROPN 1 iobj
4 Купалу PROPN 3 flat:name
5 ў ADP 6 case
6 Менску PROPN 1 nmod
7 1972 ADJ 8 amod
8 год NOUN 6 nmod
9 . PUNCT 1 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: У дзень памяці <strong>Францішка Багушэвіча</strong>, <a href="https://www.svaboda.org/a/30580641.html">Радыё Свабода</a> падрыхтавала артыкуль пра ўкраінскае жыцьцё абуджальніка беларускага народу | Position Tokenization UPOS Head Deprel
1 У ADP 2 case
2 дзень NOUN 0 root
3 памяці NOUN 2 nmod
4 <strong> SYM 3 dep
5 Францішка PROPN 4 nmod
6 Багушэвіча PROPN 5 flat:name
7 </strong> SYM 2 dep
8 , PUNCT 9 punct
9 < SYM 7 dep
10 a X 9 flat:foreign
11 href= X 9 appos
12 " PUNCT 11 punct
13 https://www.svaboda.org/a/30580641.html X 11 flat:foreign
14 " PUNCT 19 punct
15 > SYM 19 parataxis
16 Радыё NOUN 19 nsubj
17 Свабода NOUN 16 nmod
18 </a> SYM 17 dep
19 падрыхтавала VERB 11 conj
20 артыкуль NOUN 19 obj
21 пра ADP 23 case
22 ўкраінскае ADJ 23 amod
23 жыцьцё NOUN 19 obl
24 абуджальніка NOUN 23 nmod
25 беларускага ADJ 26 amod
26 народу NOUN 24 nmod |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: #лікбез | Position Tokenization UPOS Head Deprel
1 #лікбез X 0 root |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: Цікавыя акалічнасці беларуска-расійскіх стасункаў адразу пасля другога абвяшчэння незалежнасці БССР у ліпені 1920 года. | Position Tokenization UPOS Head Deprel
1 Цікавыя ADJ 2 amod
2 акалічнасці NOUN 5 nsubj
3 беларуска-расійскіх ADJ 4 amod
4 стасункаў NOUN 2 nmod
5 адразу ADV 0 root
6 пасля ADP 8 case
7 другога ADJ 8 amod
8 абвяшчэння NOUN 5 obl
9 незалежнасці NOUN 8 nmod
10 БССР PROPN 9 nmod
11 у ADP 12 case
12 ліпені NOUN 5 obl
13 1920 ADJ 14 amod
14 года NOUN 12 nmod
15 . PUNCT 5 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: Урывак з артыкул А.Ціхамірава "Взаимоотношения БССР и РСФСР в 1919-1921 гг." - цалкам артыкул <a href="http://elib.bsu.by/handle/123456789/31753">можна прачытаць па спасылцы</a>. | Position Tokenization UPOS Head Deprel
1 Урывак NOUN 0 root
2 з ADP 3 case
3 артыкул NOUN 1 nmod
4 А. PROPN 3 appos
5 Ціхамірава PROPN 4 flat:name
6 " PUNCT 7 punct
7 Взаимоотношения NOUN 3 appos
8 БССР PROPN 7 nmod
9 и CCONJ 10 cc
10 РСФСР PROPN 8 conj
11 в ADP 15 case
12 1919 ADJ 14 compound
13 - PUNCT 12 punct
14 1921 ADJ 15 amod
15 гг. NOUN 7 nmod
16 " PUNCT 7 punct
17 - PUNCT 27 punct
18 цалкам ADV 28 advmod
19 артыкул NOUN 28 obj
20 < SYM 27 dep
21 a X 20 dep
22 href= X 20 dep
23 " PUNCT 20 punct
24 http://elib.bsu.by/handle/123456789/31753 X 20 dep
25 " PUNCT 20 punct
26 > SYM 20 parataxis
27 можна VERB 1 parataxis
28 прачытаць VERB 27 csubj
29 па ADP 30 case
30 спасылцы NOUN 28 obl
31 </a> SYM 27 dep
32 . PUNCT 1 punct |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: Анлайн-экскурсія пра тое, як Менск перажываў эпідэміі 500 гадоў таму 😷 | Position Tokenization UPOS Head Deprel
1 Анлайн-экскурсія NOUN 0 root
2 пра ADP 3 case
3 тое PRON 1 nmod
4 , PUNCT 7 punct
5 як SCONJ 7 mark
6 Менск PROPN 7 nsubj
7 перажываў VERB 3 acl
8 эпідэміі NOUN 7 obj
9 500 NUM 10 nummod
10 гадоў NOUN 7 obl
11 таму ADV 12 advmod
12 😷 SYM 1 parataxis |
As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more.
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
- HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
- DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position Tokenization UPOS Head Deprel
1 The DET 3 det
2 big ADJ 3 amod
3 dog NOUN 4 nsubj
4 chased VERB 0 ROOT
5 the DET 6 det
6 cat NOUN 4 obj
7 . PUNCT 4 punct | Generate UD annotations for the following text: #рэчыбсср | Position Tokenization UPOS Head Deprel
1 #рэчыбсср X 0 root |
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