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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: Голасна мусім пазваць: | Position Tokenization UPOS Head Deprel
1 Голасна ADV 2 advmod
2 мусім VERB 0 root
3 пазваць VERB 2 xcomp
4 : 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: Гэй, хто работнік? | Position Tokenization UPOS Head Deprel
1 Гэй INTJ 3 discourse
2 , PUNCT 1 punct
3 хто PRON 0 root
4 работнік NOUN 3 nsubj
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: Хадзіце | Position Tokenization UPOS Head Deprel
1 Хадзіце VERB 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: Новы ўсім лад будаваць! | Position Tokenization UPOS Head Deprel
1 Новы ADJ 3 amod
2 ўсім PRON 4 iobj
3 лад NOUN 4 obj
4 будаваць VERB 0 root
5 ! 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: Будуць для ўсіх там палацы, | Position Tokenization UPOS Head Deprel
1 Будуць AUX 5 cop
2 для ADP 3 case
3 ўсіх PRON 5 nmod
4 там ADV 3 advmod
5 палацы NOUN 0 root
6 , 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: Стане на ўсіх там цяпла, | Position Tokenization UPOS Head Deprel
1 Стане VERB 0 root
2 на ADP 3 case
3 ўсіх PRON 1 obl
4 там ADV 1 advmod
5 цяпла ADJ 1 xcomp
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: Ў панстве братэрства і працы, | Position Tokenization UPOS Head Deprel
1 Ў ADP 2 case
2 панстве NOUN 0 root
3 братэрства NOUN 2 nmod
4 і CCONJ 5 cc
5 працы NOUN 3 conj
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: Вольнасьці, хлеба й сьвятла. | Position Tokenization UPOS Head Deprel
1 Вольнасьці NOUN 0 root
2 , PUNCT 3 punct
3 хлеба NOUN 1 conj
4 й CCONJ 5 cc
5 сьвятла NOUN 1 conj
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: *** | Position Tokenization UPOS Head Deprel
1 *** SYM 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: 11 сакавіка 1887 каля Менску нарадзіўся Аляксандар Прушынскі (псэўданім – Алесь Гарун), беларускі паэт, рэвалюцыянэр і вайсковец, палітычны вязень у царскай Расеі, у 1918 – сябра Беларускай Вайсковай Камісіі. | Position Tokenization UPOS Head Deprel
1 11 ADJ 6 obl
2 сакавіка NOUN 1 flat
3 1887 ADJ 1 nmod
4 каля ADP 5 case
5 Менску PROPN 3 nmod
6 нарадзіўся VERB 0 root
7 Аляксандар PROPN 6 nsubj
8 Прушынскі PROPN 7 flat:name
9 ( PUNCT 10 punct
10 псэўданім NOUN 7 parataxis
11 – PUNCT 10 punct
12 Алесь PROPN 10 appos
13 Гарун PROPN 12 flat:name
14 ) PUNCT 10 punct
15 , PUNCT 17 punct
16 беларускі ADJ 17 amod
17 паэт NOUN 7 conj
18 , PUNCT 19 punct
19 рэвалюцыянэр NOUN 17 appos
20 і CCONJ 21 cc
21 вайсковец NOUN 19 conj
22 , PUNCT 24 punct
23 палітычны ADJ 24 amod
24 вязень NOUN 7 appos
25 у ADP 27 case
26 царскай ADJ 27 amod
27 Расеі PROPN 24 nmod
28 , PUNCT 32 punct
29 у ADP 32 case
30 1918 ADJ 32 amod
31 – PUNCT 30 punct
32 сябра NOUN 6 obl
33 Беларускай ADJ 35 amod
34 Вайсковай ADJ 35 amod
35 Камісіі NOUN 32 nmod
36 . 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: #фотабсср | Position Tokenization UPOS Head Deprel
1 #фотабсср 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: Камсамольскі сквер у Магілёве на фота канца 1930-х гадоў. | Position Tokenization UPOS Head Deprel
1 Камсамольскі ADJ 2 amod
2 сквер NOUN 0 root
3 у ADP 4 case
4 Магілёве PROPN 2 nmod
5 на ADP 6 case
6 фота NOUN 4 nmod
7 канца NOUN 6 nmod
8 1930-х ADJ 9 amod
9 гадоў NOUN 7 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: На фоне бачны будынак нядаўна пабудаванага кінатэатра “Радзіма” (захаваўся да нашага часу). | Position Tokenization UPOS Head Deprel
1 На ADP 2 case
2 фоне NOUN 0 root
3 бачны ADJ 4 amod
4 будынак NOUN 2 nsubj
5 нядаўна ADV 6 advmod
6 пабудаванага VERB 7 acl
7 кінатэатра NOUN 4 nmod
8 “ PUNCT 9 punct
9 Радзіма PROPN 7 parataxis
10 ” PUNCT 9 punct
11 ( PUNCT 12 punct
12 захаваўся VERB 9 parataxis
13 да ADP 15 case
14 нашага DET 15 det
15 часу NOUN 12 obl
16 ) PUNCT 12 punct
17 . 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 шматвяковай гісторыі Беларусі быў пэрыяд, калі значная яе частка магла апынуцца ў складзе так званага Вялікага княства Рускага — або, кажучы сучаснай мовай, у складзе Ўкраіны. | Position Tokenization UPOS Head Deprel
1 У ADP 3 case
2 шматвяковай ADJ 3 amod
3 гісторыі NOUN 5 obl
4 Беларусі PROPN 3 nmod
5 быў VERB 0 root
6 пэрыяд NOUN 5 obj
7 , PUNCT 12 punct
8 калі SCONJ 12 mark
9 значная ADJ 11 amod
10 яе DET 11 det
11 частка NOUN 12 nsubj
12 магла VERB 5 advcl
13 апынуцца VERB 12 xcomp
14 ў ADP 15 case
15 складзе NOUN 13 obl
16 так ADV 17 advmod
17 званага VERB 19 acl
18 Вялікага ADJ 19 amod
19 княства NOUN 13 obl
20 Рускага ADJ 19 nmod
21 — PUNCT 29 punct
22 або CCONJ 29 cc
23 , PUNCT 22 punct
24 кажучы VERB 29 advcl
25 сучаснай ADJ 26 amod
26 мовай NOUN 24 obl
27 , PUNCT 24 punct
28 у ADP 29 case
29 складзе NOUN 20 conj
30 Ўкраіны PROPN 29 nmod
31 . 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: Гэта было ў сярэдзіне XVII стагодзьдзя. | Position Tokenization UPOS Head Deprel
1 Гэта PRON 4 nsubj
2 было AUX 4 cop
3 ў ADP 4 case
4 сярэдзіне NOUN 0 root
5 XVII ADJ 6 amod
6 стагодзьдзя NOUN 4 nmod
7 . 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: <a_href="https://www.svaboda.org/a/30473977.html">https://www.svaboda.org/a/30473977.html</a> | Position Tokenization UPOS Head Deprel
1 <a_href="https://www.svaboda.org/a/30473977.html"> SYM 2 dep
2 https://www.svaboda.org/a/30473977.html X 0 root
3 </a> SYM 2 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: Афішы беларускіх кінатэатраў у 2000-х | Position Tokenization UPOS Head Deprel
1 Афішы NOUN 0 root
2 беларускіх ADJ 3 amod
3 кінатэатраў NOUN 1 nmod
4 у ADP 5 case
5 2000-х ADJ 1 obl |
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: 12 сакавіка 1917 у Менску прайшоў <a href="http://www.radabnr.org/dzien-znacka-1917/?fbclid=IwAR3l_3c-IWhRRhJf1jsMpQ0kCTt4g7Q1vir7GGq0jNoWI4190_n2T3e_e8U">Дзень беларускага значка</a> | Position Tokenization UPOS Head Deprel
1 12 ADJ 6 obl
2 сакавіка NOUN 1 flat
3 1917 ADJ 1 nmod
4 у ADP 5 case
5 Менску PROPN 6 obl
6 прайшоў VERB 0 root
7 < SYM 6 dep
8 a X 7 flat:foreign
9 href= X 7 appos
10 " PUNCT 9 punct
11 http://www.radabnr.org/dzien-znacka-1917/?fbclid=IwAR3l_3c-IWhRRhJf1jsMpQ0kCTt4g7Q1vir7GGq0jNoWI4190_n2T3e_e8U X 9 flat:foreign
12 " PUNCT 9 punct
13 > SYM 9 parataxis
14 Дзень NOUN 13 appos
15 беларускага ADJ 16 amod
16 значка NOUN 14 nmod
17 </a> 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: 103 гады таму, Менск упрыгожылі бел-чырвона-белымі стужкі ды сьцягі. | Position Tokenization UPOS Head Deprel
1 103 NUM 2 nummod
2 гады NOUN 0 root
3 таму ADV 2 advmod
4 , PUNCT 6 punct
5 Менск PROPN 6 obj
6 упрыгожылі VERB 2 conj
7 бел- ADJ 9 amod
8 чырвона-белымі ADJ 9 amod
9 стужкі NOUN 6 iobj
10 ды CCONJ 11 cc
11 сьцягі NOUN 9 conj
12 . 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, ідэя беларускай незалежнасьці перастала быць справай выключна беларускай інтэлегенцыі, але стала справай агульнанароднай. | Position Tokenization UPOS Head Deprel
1 Такім DET 2 det
2 чынам NOUN 0 root
3 , PUNCT 7 punct
4 ідэя NOUN 7 nsubj
5 беларускай ADJ 6 amod
6 незалежнасьці NOUN 4 nmod
7 перастала VERB 2 acl:relcl
8 быць AUX 9 cop
9 справай NOUN 7 obl
10 выключна ADV 12 advmod
11 беларускай ADJ 12 amod
12 інтэлегенцыі NOUN 9 nmod
13 , PUNCT 15 punct
14 але CCONJ 15 cc
15 стала VERB 7 conj
16 справай NOUN 15 xcomp
17 агульнанароднай ADJ 16 amod
18 . 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: 📷Мірскі замак, пабудаваны ў 16 стагодзьдзі. | Position Tokenization UPOS Head Deprel
1 📷Мірскі ADJ 2 amod
2 замак NOUN 0 root
3 , PUNCT 4 punct
4 пабудаваны VERB 2 acl
5 ў ADP 7 case
6 16 ADJ 7 amod
7 стагодзьдзі NOUN 4 obl
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: Фота 1978 году | Position Tokenization UPOS Head Deprel
1 Фота NOUN 0 root
2 1978 ADJ 3 amod
3 году NOUN 1 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: 13 сакавіка 1881 года ўраджэнец Беларусі <a href="https://gazeta.arche.by/article/352.html?fbclid=IwAR1Hmdc0KbVhoVu07BvPUIifL1KM-gAoaQO_tsGMHVRQYC4wMwnaVMcTFiw">Ігнат Грынявіцкі</a> забіў расійскага цара Аляксандра II. | Position Tokenization UPOS Head Deprel
1 13 ADJ 17 obl
2 сакавіка NOUN 1 flat
3 1881 ADJ 4 amod
4 года NOUN 1 nmod
5 ўраджэнец NOUN 17 nsubj
6 Беларусі PROPN 5 nmod
7 < SYM 14 dep
8 a X 7 flat:foreign
9 href= X 7 conj
10 " PUNCT 7 punct
11 https://gazeta.arche.by/article/352.html?fbclid=IwAR1Hmdc0KbVhoVu07BvPUIifL1KM-gAoaQO_tsGMHVRQYC4wMwnaVMcTFiw X 7 flat:foreign
12 " PUNCT 7 punct
13 > SYM 7 parataxis
14 Ігнат PROPN 5 appos
15 Грынявіцкі PROPN 14 flat:name
16 </a> SYM 14 dep
17 забіў VERB 0 root
18 расійскага ADJ 19 amod
19 цара NOUN 17 obj
20 Аляксандра PROPN 19 appos
21 II ADJ 20 amod
22 . PUNCT 17 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: Цікава, што ў Беларусі вуліцы названыя імёнамі розных бальшавікоў, але няма вуліцы Грынявіцкага. | Position Tokenization UPOS Head Deprel
1 Цікава ADJ 0 root
2 , PUNCT 7 punct
3 што SCONJ 7 mark
4 ў ADP 5 case
5 Беларусі PROPN 7 obl
6 вуліцы NOUN 7 nsubj
7 названыя VERB 1 csubj
8 імёнамі NOUN 7 obl
9 розных ADJ 10 amod
10 бальшавікоў NOUN 8 nmod
11 , PUNCT 13 punct
12 але CCONJ 13 cc
13 няма VERB 7 conj
14 вуліцы NOUN 13 obl
15 Грынявіцкага PROPN 14 nmod
16 . 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: Пантэон «правільных» | Position Tokenization UPOS Head Deprel
1 Пантэон NOUN 0 root
2 « PUNCT 1 punct
3 правільных ADJ 1 amod
4 » 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: Будынак спартовага таварыства “Спартак” — касьцёл Дзевы Марыі з дабудаванай “маскай” на фасадзе. | Position Tokenization UPOS Head Deprel
1 Будынак NOUN 8 nsubj
2 спартовага ADJ 3 amod
3 таварыства NOUN 1 nmod
4 “ PUNCT 5 punct
5 Спартак PROPN 3 appos
6 ” PUNCT 5 punct
7 — PUNCT 8 punct
8 касьцёл NOUN 0 root
9 Дзевы NOUN 8 nmod
10 Марыі PROPN 9 appos
11 з ADP 14 case
12 дабудаванай VERB 14 amod
13 “ PUNCT 14 punct
14 маскай NOUN 8 nmod
15 ” PUNCT 14 punct
16 на ADP 17 case
17 фасадзе NOUN 14 nmod
18 . 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: Старыя менчукі ўсё адно хрысьціліся, праходзячы каля былога касьцёлу. | Position Tokenization UPOS Head Deprel
1 Старыя ADJ 2 amod
2 менчукі NOUN 5 nsubj
3 ўсё DET 4 det
4 адно NUM 5 nummod
5 хрысьціліся VERB 0 root
6 , PUNCT 7 punct
7 праходзячы VERB 5 advcl
8 каля ADP 10 case
9 былога ADJ 10 amod
10 касьцёлу NOUN 7 obl
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: Фота пачатку 60. | Position Tokenization UPOS Head Deprel
1 Фота NOUN 0 root
2 пачатку NOUN 1 nmod
3 60 NUM 1 nummod
4 . 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: Аднаўленьне касьцёла Дзевы Марыі у 1995, за саветвмі там зладзілі спартовае таварыства “Спартак” | Position Tokenization UPOS Head Deprel
1 Аднаўленьне NOUN 6 nsubj
2 касьцёла NOUN 1 nmod
3 Дзевы NOUN 2 nmod
4 Марыі PROPN 3 nmod
5 у ADP 6 case
6 1995 ADJ 0 root
7 , PUNCT 11 punct
8 за ADP 9 case
9 саветвмі NOUN 11 obl
10 там ADV 11 advmod
11 зладзілі VERB 6 conj
12 спартовае ADJ 13 amod
13 таварыства NOUN 11 obj
14 “ PUNCT 15 punct
15 Спартак PROPN 13 nmod
16 ” 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: <a_href="https://news.tut.by/society/674820.html?f">Трагедыя</a> пра якую не здымалі фільмаў і мала хто ведае. | Position Tokenization UPOS Head Deprel
1 <a_href="https://news.tut.by/society/674820.html?f"> SYM 2 dep
2 Трагедыя X 0 root
3 </a> SYM 2 dep
4 пра ADP 5 case
5 якую PRON 7 obl
6 не PART 7 advmod
7 здымалі VERB 2 acl:relcl
8 фільмаў NOUN 7 obj
9 і CCONJ 12 cc
10 мала ADV 11 advmod
11 хто PRON 12 nsubj
12 ведае VERB 7 conj
13 . 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: 🏛<strong>15 сакавіка 1994</strong> года Вярхоўным саветам 13-га скліканьня прынята першая Канстытуцыя незалежнае Беларусі. | Position Tokenization UPOS Head Deprel
1 🏛 SYM 12 parataxis
2 <strong> SYM 3 dep
3 15 ADJ 12 obl
4 сакавіка NOUN 3 flat
5 1994 ADJ 7 amod
6 </strong> SYM 3 dep
7 года NOUN 3 nmod
8 Вярхоўным ADJ 9 amod
9 саветам NOUN 12 obl
10 13-га ADJ 11 amod
11 скліканьня NOUN 9 nmod
12 прынята VERB 0 root
13 першая ADJ 14 amod
14 Канстытуцыя NOUN 12 nsubj:pass
15 незалежнае ADJ 16 amod
16 Беларусі PROPN 14 nmod
17 . PUNCT 12 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: Набыла моц 30 красавіка 1994. | Position Tokenization UPOS Head Deprel
1 Набыла VERB 0 root
2 моц NOUN 1 obj
3 30 ADJ 1 obl
4 красавіка NOUN 3 flat
5 1994 ADJ 4 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: У 1995, 1996 і 2004 былі ўнесеныя незаконныя праўкі, якія істотна яе зьмянялі, пярэчылі самой Канстытуцыі й парушылі прынцып падзелу ўлады. | Position Tokenization UPOS Head Deprel
1 У ADP 2 case
2 1995 ADJ 7 obl
3 , PUNCT 4 punct
4 1996 ADJ 2 conj
5 і CCONJ 6 cc
6 2004 ADJ 2 conj
7 былі AUX 0 root
8 ўнесеныя VERB 10 amod
9 незаконныя ADJ 10 amod
10 праўкі NOUN 7 nsubj
11 , PUNCT 15 punct
12 якія PRON 15 nsubj
13 істотна ADV 15 advmod
14 яе PRON 15 obj
15 зьмянялі VERB 10 acl:relcl
16 , PUNCT 17 punct
17 пярэчылі VERB 7 conj
18 самой ADJ 19 amod
19 Канстытуцыі NOUN 17 iobj
20 й CCONJ 21 cc
21 парушылі VERB 17 conj
22 прынцып NOUN 21 obj
23 падзелу NOUN 22 nmod
24 ўлады NOUN 23 nmod
25 . 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: <a_href="http://www.radabnr.org/kanstytucyja-1994/">Тэкст першапачатковай Канстытуцыі Беларусі 1994</a> | Position Tokenization UPOS Head Deprel
1 <a_href="http://www.radabnr.org/kanstytucyja-1994/"> SYM 2 dep
2 Тэкст NOUN 0 root
3 першапачатковай ADJ 4 amod
4 Канстытуцыі NOUN 2 nmod
5 Беларусі PROPN 4 nmod
6 1994 ADJ 4 nmod
7 </a> SYM 2 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: Будынак Савета Рэспублікі займала калабарацыянісцкая Беларусцкая цэнтральная рада, а будынак Адміністрацыі Прэзідэнта — Генеральны камісарыят Беларусі. | Position Tokenization UPOS Head Deprel
1 Будынак NOUN 4 obj
2 Савета NOUN 1 nmod
3 Рэспублікі NOUN 2 nmod
4 займала VERB 0 root
5 калабарацыянісцкая ADJ 8 amod
6 Беларусцкая ADJ 8 amod
7 цэнтральная ADJ 8 amod
8 рада NOUN 4 nsubj
9 , PUNCT 11 punct
10 а CCONJ 11 cc
11 будынак NOUN 4 conj
12 Адміністрацыі NOUN 11 nmod
13 Прэзідэнта NOUN 12 nmod
14 — PUNCT 16 punct
15 Генеральны ADJ 16 amod
16 камісарыят NOUN 11 appos
17 Беларусі PROPN 16 nmod
18 . 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: І чамусьці дзяржава не лічыць гэтыя будынкі апаганенымі, не пазбягае іх, але лічыць апаганенай і пазбягае нацыянальнай сімволікі | Position Tokenization UPOS Head Deprel
1 І CCONJ 5 cc
2 чамусьці ADV 5 advmod
3 дзяржава NOUN 5 nsubj
4 не PART 5 advmod
5 лічыць VERB 0 root
6 гэтыя DET 7 det
7 будынкі NOUN 5 obj
8 апаганенымі VERB 5 xcomp
9 , PUNCT 11 punct
10 не PART 11 advmod
11 пазбягае VERB 5 conj
12 іх PRON 11 obj
13 , PUNCT 15 punct
14 але CCONJ 15 cc
15 лічыць VERB 12 conj
16 апаганенай VERB 15 xcomp
17 і CCONJ 18 cc
18 пазбягае VERB 15 conj
19 нацыянальнай ADJ 20 amod
20 сімволікі NOUN 18 obl |
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: Мітынг 20 гадоў таму. | Position Tokenization UPOS Head Deprel
1 Мітынг NOUN 0 root
2 20 NUM 3 nummod
3 гадоў NOUN 1 nmod
4 таму ADV 3 advmod
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: 15 сакавіка 2000 году ў Менску адбылася акцыя, колькасьць удзельнікаў да 50 тысяч чалавек👥 | Position Tokenization UPOS Head Deprel
1 15 ADJ 7 obl
2 сакавіка NOUN 1 flat
3 2000 ADJ 4 amod
4 году NOUN 1 nmod
5 ў ADP 6 case
6 Менску PROPN 7 obl
7 адбылася VERB 0 root
8 акцыя NOUN 7 nsubj
9 , PUNCT 10 punct
10 колькасьць NOUN 8 conj
11 удзельнікаў NOUN 10 nmod
12 да ADP 14 case
13 50 NUM 14 nummod
14 тысяч NOUN 10 nmod
15 чалавек NOUN 14 nmod
16 👥 SYM 7 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: Татарская Слабада ў Менску, 40-е годы. | Position Tokenization UPOS Head Deprel
1 Татарская ADJ 2 amod
2 Слабада PROPN 0 root
3 ў ADP 4 case
4 Менску PROPN 2 nmod
5 , PUNCT 7 punct
6 40-е ADJ 7 amod
7 годы NOUN 2 conj
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: Зьвярніце ўвагу на дату на магільным камені. | Position Tokenization UPOS Head Deprel
1 Зьвярніце VERB 0 root
2 ўвагу NOUN 1 obj
3 на ADP 4 case
4 дату NOUN 1 obl
5 на ADP 7 case
6 магільным ADJ 7 amod
7 камені NOUN 4 nmod
8 . 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: На прыкладах назваў галоўных вуліц і назваў некаторых населенных пунктаў Беларусі можна вывучаць гісторыю. | Position Tokenization UPOS Head Deprel
1 На ADP 2 case
2 прыкладах NOUN 3 obl
3 назваў VERB 0 root
4 галоўных ADJ 5 amod
5 вуліц NOUN 3 obl
6 і CCONJ 7 cc
7 назваў VERB 3 conj
8 некаторых DET 10 det
9 населенных ADJ 10 amod
10 пунктаў NOUN 7 obl
11 Беларусі PROPN 10 nmod
12 можна VERB 7 xcomp
13 вывучаць VERB 12 csubj
14 гісторыю NOUN 13 obj
15 . 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: Назвы беларускіх гарадоў, мястэчак ды вёсак пасля кожнай змены ўлады ў краіне штораз паланізаваліся ці русіфікаваліся на працягу апошніх 500 гадоў. | Position Tokenization UPOS Head Deprel
1 Назвы NOUN 15 nsubj
2 беларускіх ADJ 3 amod
3 гарадоў NOUN 1 nmod
4 , PUNCT 5 punct
5 мястэчак NOUN 3 nmod
6 ды CCONJ 7 cc
7 вёсак NOUN 5 conj
8 пасля ADP 10 case
9 кожнай ADJ 10 amod
10 змены NOUN 7 nmod
11 ўлады NOUN 10 nmod
12 ў ADP 13 case
13 краіне NOUN 7 nmod
14 штораз ADV 15 advmod
15 паланізаваліся VERB 0 root
16 ці SCONJ 17 mark
17 русіфікаваліся VERB 15 conj
18 на ADP 19 case
19 працягу NOUN 17 obl
20 апошніх ADJ 22 amod
21 500 NUM 22 nummod
22 гадоў NOUN 19 nmod
23 . PUNCT 15 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: Але ў 1964 годзе адбылося нябачанае да гэтага часу масавае перайменаванне некалькіх соцень вёсак. | Position Tokenization UPOS Head Deprel
1 Але CCONJ 5 cc
2 ў ADP 4 case
3 1964 ADJ 4 amod
4 годзе NOUN 5 obl
5 адбылося VERB 0 root
6 нябачанае ADJ 11 amod
7 да ADP 9 case
8 гэтага DET 9 det
9 часу NOUN 6 nmod
10 масавае ADJ 11 amod
11 перайменаванне NOUN 5 nsubj
12 некалькіх NUM 13 nummod
13 соцень NOUN 11 nmod
14 вёсак NOUN 13 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: Усё, што мясцовыя ўлады лічылі «немілагучным», было перайменавана ў Грушаўкі, Вішнёўкі, Першамайскі і Кастрычнікі… | Position Tokenization UPOS Head Deprel
1 Усё PRON 12 nsubj:pass
2 , PUNCT 6 punct
3 што PRON 6 obj
4 мясцовыя ADJ 5 amod
5 ўлады NOUN 6 nsubj
6 лічылі VERB 1 acl
7 « PUNCT 8 punct
8 немілагучным ADJ 6 xcomp
9 » PUNCT 8 punct
10 , PUNCT 12 punct
11 было AUX 12 aux:pass
12 перайменавана VERB 0 root
13 ў ADP 14 case
14 Грушаўкі PROPN 12 obl
15 , PUNCT 16 punct
16 Вішнёўкі PROPN 14 conj
17 , PUNCT 18 punct
18 Першамайскі PROPN 14 conj
19 і CCONJ 20 cc
20 Кастрычнікі PROPN 14 conj
21 … PUNCT 12 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: Апошняя старонка Рыскае мірнае дамовы, якая была падпісаная 18 сакавіка 1921 году. | Position Tokenization UPOS Head Deprel
1 Апошняя ADJ 2 amod
2 старонка NOUN 0 root
3 Рыскае ADJ 5 amod
4 мірнае ADJ 5 amod
5 дамовы NOUN 2 nmod
6 , PUNCT 9 punct
7 якая PRON 9 nsubj:pass
8 была AUX 9 aux
9 падпісаная VERB 5 acl:relcl
10 18 ADJ 9 obl
11 сакавіка NOUN 10 flat
12 1921 ADJ 13 amod
13 году NOUN 10 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: Згодна зь якой заходнія землі Беларусі перадаваліся пад уладу Польшчы, а ўсходнія ўваходзілі ў склад РСФСР. | Position Tokenization UPOS Head Deprel
1 Згодна ADV 7 advmod
2 зь ADP 3 case
3 якой PRON 1 obl
4 заходнія ADJ 5 amod
5 землі NOUN 7 nsubj
6 Беларусі PROPN 5 nmod
7 перадаваліся VERB 0 root
8 пад ADP 9 case
9 уладу NOUN 7 obl
10 Польшчы PROPN 9 nmod
11 , PUNCT 14 punct
12 а CCONJ 14 cc
13 ўсходнія ADJ 14 nsubj
14 ўваходзілі VERB 7 conj
15 ў ADP 16 case
16 склад NOUN 14 obl
17 РСФСР PROPN 16 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: Тэрыторыю БССР на той час складалі 6 паветаў Менскай губэрні. | Position Tokenization UPOS Head Deprel
1 Тэрыторыю NOUN 6 obj
2 БССР PROPN 1 nmod
3 на ADP 5 case
4 той DET 5 det
5 час NOUN 6 obl
6 складалі VERB 0 root
7 6 NUM 8 nummod
8 паветаў NOUN 6 nsubj
9 Менскай ADJ 10 amod
10 губэрні NOUN 8 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: Цэнтральную Беларусь разам зь Менскам хацелі аддаць палякам. | Position Tokenization UPOS Head Deprel
1 Цэнтральную ADJ 2 amod
2 Беларусь PROPN 6 obj
3 разам ADV 6 advmod
4 зь ADP 5 case
5 Менскам PROPN 3 obl
6 хацелі VERB 0 root
7 аддаць VERB 6 xcomp
8 палякам NOUN 7 iobj
9 . 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: <a_href="https://www.svaboda.org/a/30483279.html?fbclid=IwAR0Y--fno_HmLFMXpHF804GdWAMhKllkO73sHQJ8cdJzpiaSFTu9ezQXtQs">Матэрыял пра таемныя перамовы бальшавікоў і палякаў</a> у 1920 годзе | Position Tokenization UPOS Head Deprel
1 <a_href="https://www.svaboda.org/a/30483279.html?fbclid=IwAR0Y--fno_HmLFMXpHF804GdWAMhKllkO73sHQJ8cdJzpiaSFTu9ezQXtQs"> SYM 2 dep
2 Матэрыял NOUN 0 root
3 пра ADP 5 case
4 таемныя ADJ 5 amod
5 перамовы NOUN 2 nmod
6 бальшавікоў NOUN 5 nmod
7 і CCONJ 8 cc
8 палякаў NOUN 6 conj
9 </a> SYM 2 dep
10 у ADP 12 case
11 1920 ADJ 12 amod
12 годзе NOUN 5 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: Нарач, першая палова ХХ стагодзьдзя. | Position Tokenization UPOS Head Deprel
1 Нарач PROPN 0 root
2 , PUNCT 4 punct
3 першая ADJ 4 amod
4 палова NOUN 1 conj
5 ХХ ADJ 6 amod
6 стагодзьдзя NOUN 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: Няможна абысьціся бяз гэтае тэмы, прабачце | Position Tokenization UPOS Head Deprel
1 Няможна ADJ 0 root
2 абысьціся VERB 1 csubj
3 бяз ADP 5 case
4 гэтае DET 5 det
5 тэмы NOUN 2 obl
6 , PUNCT 7 punct
7 прабачце VERB 1 conj |
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: Вось як афармляліся тэчкі крымінальных спраў ва УССР у 1920-я гады. | Position Tokenization UPOS Head Deprel
1 Вось PART 3 advmod
2 як ADV 3 advmod
3 афармляліся VERB 0 root
4 тэчкі NOUN 3 nsubj
5 крымінальных ADJ 6 amod
6 спраў NOUN 4 nmod
7 ва ADP 8 case
8 УССР PROPN 4 nmod
9 у ADP 11 case
10 1920-я ADJ 11 amod
11 гады NOUN 3 obl
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: У БССР, здаецца, такім "украшацельствам" не займіліся ў той час. | Position Tokenization UPOS Head Deprel
1 У ADP 2 case
2 БССР PROPN 11 obl
3 , PUNCT 4 punct
4 здаецца VERB 11 parataxis
5 , PUNCT 11 punct
6 такім DET 11 det
7 " PUNCT 11 punct
8 украшацельствам NOUN 11 obl
9 " PUNCT 8 punct
10 не PART 11 advmod
11 займіліся VERB 0 root
12 ў ADP 14 case
13 той DET 14 det
14 час NOUN 11 obl
15 . 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: За карцінку дзякуй каналу <a_href="https://t.me/kgbfiles">@kgbfiles</a> | Position Tokenization UPOS Head Deprel
1 За ADP 2 case
2 карцінку NOUN 0 root
3 дзякуй NOUN 2 nmod
4 каналу NOUN 3 nmod
5 <a_href="https://t.me/kgbfiles"> SYM 3 dep
6 @kgbfiles NOUN 4 appos
7 </a> SYM 2 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: 14 гадоў таму. | Position Tokenization UPOS Head Deprel
1 14 NUM 2 nummod
2 гадоў NOUN 3 nsubj
3 таму ADV 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: Менскія пратэсты 19 сакавіка 2006 году | Position Tokenization UPOS Head Deprel
1 Менскія ADJ 2 amod
2 пратэсты NOUN 0 root
3 19 ADJ 2 nmod
4 сакавіка NOUN 3 flat
5 2006 ADJ 6 amod
6 году NOUN 3 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: Станцыя мэтро «Купалаўская». | Position Tokenization UPOS Head Deprel
1 Станцыя NOUN 0 root
2 мэтро NOUN 1 nmod
3 « PUNCT 4 punct
4 Купалаўская ADJ 2 acl
5 » PUNCT 4 punct
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: Будаваньне 1-ае чаргі чырвонае лініі доўжылася з 1986 да 1990 году й злучыла станцыі ад Трактарнага да Фрунзэнскай. | Position Tokenization UPOS Head Deprel
1 Будаваньне NOUN 6 nsubj
2 1-ае ADJ 3 amod
3 чаргі NOUN 1 nmod
4 чырвонае ADJ 5 amod
5 лініі NOUN 3 nmod
6 доўжылася VERB 0 root
7 з ADP 8 case
8 1986 ADJ 6 obl
9 да ADP 11 case
10 1990 ADJ 11 amod
11 году NOUN 8 obl
12 й CCONJ 13 cc
13 злучыла VERB 8 conj
14 станцыі NOUN 13 obl
15 ад ADP 16 case
16 Трактарнага ADJ 14 obl
17 да ADP 18 case
18 Фрунзэнскай ADJ 16 obl
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: Артыкул зьвязаны з тэмаю будаваньня 2-ое лініі менскага мэтрапалітэну <a_href="https://www.racyja.com/hramadstva/20-sakavika-gadavina-mityngu-u-abaron/">https://www.racyja.com/hramadstva/20-sakavika-gadavina-mityngu-u-abaron/</a> | Position Tokenization UPOS Head Deprel
1 Артыкул NOUN 2 nsubj:pass
2 зьвязаны VERB 0 root
3 з ADP 4 case
4 тэмаю NOUN 2 obl
5 будаваньня NOUN 4 nmod
6 2-ое ADJ 7 amod
7 лініі NOUN 5 nmod
8 менскага ADJ 9 amod
9 мэтрапалітэну NOUN 7 nmod
10 <a_href="https://www.racyja.com/hramadstva/20-sakavika-gadavina-mityngu-u-abaron/"> SYM 11 dep
11 https://www.racyja.com/hramadstva/20-sakavika-gadavina-mityngu-u-abaron/ X 2 parataxis
12 </a> SYM 11 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: Сёньня 180 гадоў са дня нараджэньня Францішка Багушэвіча. | Position Tokenization UPOS Head Deprel
1 Сёньня ADV 0 root
2 180 NUM 3 nummod
3 гадоў NOUN 1 nsubj
4 са ADP 5 case
5 дня NOUN 3 nmod
6 нараджэньня NOUN 5 nmod
7 Францішка PROPN 6 nmod
8 Багушэвіча PROPN 7 flat:name
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: Нарадзіўся 21 сакавіка 1840 у вёсцы Сьвіраны (цяпер Летува) | Position Tokenization UPOS Head Deprel
1 Нарадзіўся VERB 0 root
2 21 ADJ 1 obl
3 сакавіка NOUN 2 flat
4 1840 ADJ 2 nmod
5 у ADP 6 case
6 вёсцы NOUN 4 obl
7 Сьвіраны PROPN 6 appos
8 ( PUNCT 10 punct
9 цяпер ADV 10 advmod
10 Летува PROPN 7 parataxis
11 ) 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: 📌 вясковы настаўнік у вёсцы Доцішкі; | Position Tokenization UPOS Head Deprel
1 📌 SYM 3 parataxis
2 вясковы ADJ 3 amod
3 настаўнік NOUN 0 root
4 у ADP 5 case
5 вёсцы NOUN 3 nmod
6 Доцішкі PROPN 5 appos
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: 📌 антырасійскі паўстанец пад час падзеяў 1863-64 гадоў; | Position Tokenization UPOS Head Deprel
1 📌 SYM 3 parataxis
2 антырасійскі ADJ 3 amod
3 паўстанец NOUN 0 root
4 пад ADP 5 case
5 час NOUN 3 nmod
6 падзеяў NOUN 5 nmod
7 1863 ADJ 10 amod
8 - PUNCT 9 punct
9 64 ADJ 7 nmod
10 гадоў NOUN 6 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: 📌 20 гадоў хаваўся ад рэпрэсіяў, вывучыўся на юрыста і стаў судовым сьледчым; | Position Tokenization UPOS Head Deprel
1 📌 SYM 3 parataxis
2 20 NUM 3 nummod
3 гадоў NOUN 4 nsubj
4 хаваўся VERB 0 root
5 ад ADP 6 case
6 рэпрэсіяў NOUN 4 obl
7 , PUNCT 8 punct
8 вывучыўся VERB 4 conj
9 на ADP 10 case
10 юрыста NOUN 8 obl
11 і CCONJ 12 cc
12 стаў VERB 4 conj
13 судовым ADJ 14 amod
14 сьледчым NOUN 12 xcomp
15 ; 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: 📌 адвакат, працаваў у судовай палаце. | Position Tokenization UPOS Head Deprel
1 📌 SYM 2 parataxis
2 адвакат NOUN 0 root
3 , PUNCT 4 punct
4 працаваў VERB 1 conj
5 у ADP 7 case
6 судовай ADJ 7 amod
7 палаце NOUN 4 obl
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: Асноўнымі кліентамі яго былі сяляне і гарадзкая бедната, за што яго празвалі «сялянскі адвакат»; | Position Tokenization UPOS Head Deprel
1 Асноўнымі ADJ 2 amod
2 кліентамі NOUN 0 root
3 яго DET 2 appos
4 былі AUX 2 cop
5 сяляне NOUN 2 nsubj
6 і CCONJ 8 cc
7 гарадзкая ADJ 8 amod
8 бедната NOUN 5 conj
9 , PUNCT 13 punct
10 за ADP 11 case
11 што PRON 13 obl
12 яго PRON 13 obj
13 празвалі VERB 2 acl
14 « PUNCT 16 punct
15 сялянскі ADJ 16 amod
16 адвакат NOUN 13 xcomp
17 » PUNCT 16 punct
18 ; 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: 📌 адзін з пачынальнікаў сучаснай беларускай мовы. | Position Tokenization UPOS Head Deprel
1 📌 SYM 2 parataxis
2 адзін NUM 0 root
3 з ADP 4 case
4 пачынальнікаў NOUN 2 nmod
5 сучаснай ADJ 7 amod
6 беларускай ADJ 7 amod
7 мовы NOUN 4 nmod
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: Акрамя стварэньня літаратурных твораў, займаўся й лексыкаграфічнай працай: зьбіраючы картатэку беларускіх словаў. | Position Tokenization UPOS Head Deprel
1 Акрамя ADP 2 case
2 стварэньня NOUN 6 obl
3 літаратурных ADJ 4 amod
4 твораў NOUN 2 nmod
5 , PUNCT 2 punct
6 займаўся VERB 0 root
7 й CCONJ 9 cc
8 лексыкаграфічнай ADJ 9 amod
9 працай NOUN 6 conj
10 : PUNCT 9 punct
11 зьбіраючы VERB 9 parataxis
12 картатэку NOUN 11 obj
13 беларускіх ADJ 14 amod
14 словаў NOUN 12 nmod
15 . 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: 22 сакавіка 1943 трагедыя ў <a_href="https://www.youtube.com/watch?v=Qf0m1uurfc4">Хатыні</a>, таямніцы й маніпуляцыі | Position Tokenization UPOS Head Deprel
1 22 ADJ 0 root
2 сакавіка NOUN 1 flat
3 1943 ADJ 1 amod
4 трагедыя NOUN 1 nsubj
5 ў ADP 7 case
6 <a_href="https://www.youtube.com/watch?v=Qf0m1uurfc4"> SYM 7 dep
7 Хатыні PROPN 4 nmod
8 </a> SYM 7 dep
9 , PUNCT 10 punct
10 таямніцы NOUN 4 parataxis
11 й CCONJ 12 cc
12 маніпуляцыі NOUN 7 conj |
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: Рашэньне аб зносе помніка Леніну перад Домам ураду і перайменаваньні плошчы і цэнтральнага праспекта Леніна ў Менску, прынята 6 верасьня 1991 Менскім гарадзкім Саветам. | Position Tokenization UPOS Head Deprel
1 Рашэньне NOUN 0 root
2 аб ADP 3 case
3 зносе NOUN 1 nmod
4 помніка NOUN 3 nmod
5 Леніну PROPN 4 appos
6 перад ADP 7 case
7 Домам NOUN 1 nmod
8 ураду NOUN 7 nmod
9 і CCONJ 10 cc
10 перайменаваньні NOUN 7 conj
11 плошчы NOUN 10 nmod
12 і CCONJ 14 cc
13 цэнтральнага ADJ 14 amod
14 праспекта NOUN 11 conj
15 Леніна PROPN 14 nmod
16 ў ADP 17 case
17 Менску PROPN 10 nmod
18 , PUNCT 19 punct
19 прынята VERB 10 conj
20 6 ADJ 19 obl
21 верасьня NOUN 20 flat
22 1991 ADJ 20 nmod
23 Менскім ADJ 25 amod
24 гарадзкім ADJ 25 amod
25 Саветам NOUN 19 obl:agent
26 . 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: Гэта таксама беларуская мова. | Position Tokenization UPOS Head Deprel
1 Гэта PRON 4 nsubj
2 таксама ADV 4 advmod
3 беларуская ADJ 4 amod
4 мова NOUN 0 root
5 . 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: Прыклад беларускага правапісу канца XIX стагодзьдзя, які грунтуецца не на фанэтычным прынцыпе і не зьяўляецца траньлітэрацыяй беларускай лацінкі📜 | Position Tokenization UPOS Head Deprel
1 Прыклад NOUN 0 root
2 беларускага ADJ 3 amod
3 правапісу NOUN 1 nmod
4 канца NOUN 3 nmod
5 XIX ADJ 6 amod
6 стагодзьдзя NOUN 4 nmod
7 , PUNCT 9 punct
8 які PRON 9 nsubj
9 грунтуецца VERB 3 acl:relcl
10 не PART 13 advmod
11 на ADP 13 case
12 фанэтычным ADJ 13 amod
13 прынцыпе NOUN 9 obl
14 і CCONJ 16 cc
15 не PART 16 advmod
16 зьяўляецца VERB 9 conj
17 траньлітэрацыяй NOUN 16 xcomp
18 беларускай ADJ 19 amod
19 лацінкі NOUN 17 nmod
20 📜 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: ⚪️🔴⚪️Святочны зварот да 102-й гадавіны абвяшчэння Незалежнасці Беларускай Народнай Рэспублікі ад Старшыні Рады БНР Івонкі Сурвіллы | Position Tokenization UPOS Head Deprel
1 ⚪️🔴⚪️ SYM 3 parataxis
2 Святочны ADJ 3 amod
3 зварот NOUN 0 root
4 да ADP 6 case
5 102-й ADJ 6 amod
6 гадавіны NOUN 3 nmod
7 абвяшчэння NOUN 6 nmod
8 Незалежнасці NOUN 7 nmod
9 Беларускай ADJ 11 amod
10 Народнай ADJ 11 amod
11 Рэспублікі NOUN 8 nmod
12 ад ADP 13 case
13 Старшыні NOUN 3 nmod
14 Рады NOUN 13 nmod
15 БНР PROPN 14 nmod
16 Івонкі PROPN 13 appos
17 Сурвіллы PROPN 16 flat:name |
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: 📆24 сакавіка 1984 году адбыўся пробны запуск першай лініі Менскага мэтро. | Position Tokenization UPOS Head Deprel
1 📆24 ADJ 2 amod
2 сакавіка NOUN 5 obl
3 1984 ADJ 4 amod
4 году NOUN 2 nmod
5 адбыўся VERB 0 root
6 пробны ADJ 7 amod
7 запуск NOUN 5 nsubj
8 першай ADJ 9 amod
9 лініі NOUN 7 nmod
10 Менскага ADJ 11 amod
11 мэтро NOUN 9 nmod
12 . 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: Свае дзьверы паспалітаму люду мэтрапалітэн адкрые 29 чэрвеня таго ж году. | Position Tokenization UPOS Head Deprel
1 Свае DET 2 det
2 дзьверы NOUN 6 obj
3 паспалітаму ADJ 4 amod
4 люду NOUN 6 iobj
5 мэтрапалітэн NOUN 6 nsubj
6 адкрые VERB 0 root
7 29 ADJ 6 obl
8 чэрвеня NOUN 7 flat
9 таго DET 11 det
10 ж PART 9 advmod
11 году NOUN 7 nmod
12 . 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: 🗓<strong>25 сакавіка 1918 году была прынятая Трэцяя Ўстаўная Грамата Рады Беларускай Народнай Рэспублікі</strong> Якая абвяшчала Беларусь вольнаю й свабоднаю дзяржавай якая мусіць аб’яднаць усе землі дзе беларусы маюць колькасную перавагу.<a_href="http://www.radabnr.org/usthramaty/hramata3/"> | Position Tokenization UPOS Head Deprel
1 🗓 SYM 8 dep
2 <strong> SYM 8 dep
3 25 ADJ 8 obl
4 сакавіка NOUN 3 flat
5 1918 ADJ 6 amod
6 году NOUN 3 nmod
7 была AUX 8 aux:pass
8 прынятая VERB 0 root
9 Трэцяя ADJ 11 amod
10 Ўстаўная ADJ 11 amod
11 Грамата NOUN 8 nsubj:pass
12 Рады NOUN 11 nmod
13 Беларускай ADJ 15 amod
14 Народнай ADJ 15 amod
15 Рэспублікі NOUN 12 nmod
16 </strong> SYM 8 dep
17 Якая DET 18 nsubj
18 абвяшчала VERB 11 acl:relcl
19 Беларусь PROPN 18 obj
20 вольнаю ADJ 23 amod
21 й CCONJ 22 cc
22 свабоднаю ADJ 20 conj
23 дзяржавай NOUN 18 xcomp
24 якая PRON 25 nsubj
25 мусіць VERB 23 acl:relcl
26 аб’яднаць VERB 25 xcomp
27 усе DET 28 det
28 землі NOUN 26 obj
29 дзе ADV 31 advmod
30 беларусы NOUN 31 nsubj
31 маюць VERB 28 acl:relcl
32 колькасную ADJ 33 amod
33 перавагу NOUN 31 obj
34 . PUNCT 8 punct
35 <a_href="http://www.radabnr.org/usthramaty/hramata3/"> 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: Поўны тэкст Трэцяй Ўстаўной Граматы</a> | Position Tokenization UPOS Head Deprel
1 Поўны ADJ 2 amod
2 тэкст NOUN 0 root
3 Трэцяй ADJ 5 amod
4 Ўстаўной ADJ 5 amod
5 Граматы NOUN 2 nmod
6 </a> SYM 2 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: ⚪️🔴⚪️Віншуем вас з Днём Волі, сябры! | Position Tokenization UPOS Head Deprel
1 ⚪️🔴⚪ SYM 2 parataxis
2 ️Віншуем VERB 0 root
3 вас PRON 2 obj
4 з ADP 5 case
5 Днём NOUN 2 obl
6 Волі NOUN 5 nmod
7 , PUNCT 8 punct
8 сябры NOUN 2 parataxis
9 ! 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: Чаму не адбылася армія БНР? | Position Tokenization UPOS Head Deprel
1 Чаму ADV 3 advmod
2 не PART 3 advmod
3 адбылася VERB 0 root
4 армія NOUN 3 nsubj
5 БНР PROPN 4 nmod
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: У Горадні сьвяткуюць “Дзень Волі 1919” | Position Tokenization UPOS Head Deprel
1 У ADP 2 case
2 Горадні PROPN 3 obl
3 сьвяткуюць VERB 0 root
4 “ PUNCT 3 punct
5 Дзень NOUN 3 obj
6 Волі NOUN 5 nmod
7 1919 ADJ 6 amod
8 ” 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: Купалаўскі — аншляг | Position Tokenization UPOS Head Deprel
1 Купалаўскі ADJ 3 amod
2 — PUNCT 1 punct
3 аншляг 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: Першы Ўсебеларускі зьезд, у якім бралі ўдзел 1872 дэлегаты, прычым 1167 з правам голасу, а 705 з дарадчым голасам. | Position Tokenization UPOS Head Deprel
1 Першы ADJ 3 amod
2 Ўсебеларускі ADJ 3 amod
3 зьезд NOUN 0 root
4 , PUNCT 7 punct
5 у ADP 6 case
6 якім PRON 7 obl
7 бралі VERB 3 acl:relcl
8 ўдзел NOUN 7 obj
9 1872 ADJ 10 amod
10 дэлегаты NOUN 8 nmod
11 , PUNCT 13 punct
12 прычым CCONJ 13 cc
13 1167 NUM 10 conj
14 з ADP 15 case
15 правам NOUN 13 nmod
16 голасу NOUN 15 nmod
17 , PUNCT 19 punct
18 а ADP 19 case
19 705 NUM 13 conj
20 з ADP 22 case
21 дарадчым ADJ 22 amod
22 голасам NOUN 19 nmod
23 . 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: Гравюры на якіх можна пабачыць дэкарацыі Нясвіскага тэатру Радзівілаў. | Position Tokenization UPOS Head Deprel
1 Гравюры NOUN 0 root
2 на ADP 3 case
3 якіх PRON 5 obl
4 можна VERB 1 acl:relcl
5 пабачыць VERB 4 csubj
6 дэкарацыі NOUN 5 obj
7 Нясвіскага ADJ 8 amod
8 тэатру NOUN 6 nmod
9 Радзівілаў PROPN 8 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: З міжнародным Днём тэатру! | Position Tokenization UPOS Head Deprel
1 З ADP 3 case
2 міжнародным ADJ 3 amod
3 Днём NOUN 0 root
4 тэатру NOUN 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: <a_href="https://telegra.ph/file/10d7e574d490cbecc3c98.jpg"></a>Газета Міністэрства абароны змясціла чарговы хлуслівы артыкул пра Курапаты — «Куропаты — наглая ложь «свядомых». | Position Tokenization UPOS Head Deprel
1 <a_href="https://telegra.ph/file/10d7e574d490cbecc3c98.jpg"> SYM 2 dep
2 X 7 parataxis
3 </a> SYM 2 dep
4 Газета NOUN 7 nsubj
5 Міністэрства NOUN 4 nmod
6 абароны NOUN 5 nmod
7 змясціла VERB 0 root
8 чарговы ADJ 10 amod
9 хлуслівы ADJ 10 amod
10 артыкул NOUN 7 obj
11 пра ADP 12 case
12 Курапаты PROPN 10 nmod
13 — PUNCT 12 punct
14 « PUNCT 15 punct
15 Куропаты PROPN 12 conj
16 — PUNCT 15 punct
17 наглая ADJ 18 amod
18 ложь NOUN 15 appos
19 « PUNCT 20 punct
20 свядомых ADJ 18 acl
21 » PUNCT 20 punct
22 . 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: <a_href="https://m.nn.by/articles/248797/">Паводле слоў</a> прэс-сакратара Міністэрства абароны Уладзіміра Макарава, гэта афіцыйная пазіцыя міністэрства. | Position Tokenization UPOS Head Deprel
1 <a_href="https://m.nn.by/articles/248797/"> SYM 3 dep
2 Паводле ADP 3 case
3 слоў NOUN 13 obl
4 </a> SYM 3 dep
5 прэс-сакратара NOUN 3 nmod
6 Міністэрства NOUN 5 nmod
7 абароны NOUN 6 nmod
8 Уладзіміра PROPN 5 appos
9 Макарава PROPN 8 flat:name
10 , PUNCT 3 punct
11 гэта PRON 13 nsubj
12 афіцыйная ADJ 13 amod
13 пазіцыя NOUN 0 root
14 міністэрства NOUN 13 nmod
15 . PUNCT 13 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, за нашыя ж грошы гэтыя асобы ствараюць гістарычную хлусню, ганьбяць памяць нашых загінулых сваякоў. | Position Tokenization UPOS Head Deprel
1 Такім DET 2 det
2 чынам NOUN 10 obl
3 , PUNCT 2 punct
4 за ADP 7 case
5 нашыя DET 7 det
6 ж PART 5 advmod
7 грошы NOUN 10 obl
8 гэтыя DET 9 det
9 асобы NOUN 10 nsubj
10 ствараюць VERB 0 root
11 гістарычную ADJ 12 amod
12 хлусню NOUN 10 obj
13 , PUNCT 14 punct
14 ганьбяць VERB 10 conj
15 памяць NOUN 14 nsubj
16 нашых DET 18 det
17 загінулых ADJ 18 amod
18 сваякоў NOUN 15 nmod
19 . 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: Ці ёсць гэтае войска беларускім? | Position Tokenization UPOS Head Deprel
1 Ці CCONJ 5 cc
2 ёсць AUX 5 cop
3 гэтае DET 4 det
4 войска NOUN 5 nsubj
5 беларускім ADJ 0 root
6 ? 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: Ня думаю. | Position Tokenization UPOS Head Deprel
1 Ня PART 2 advmod
2 думаю VERB 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: Таксама застаецца пытанне, калі там расстрэльвалі нацысты, чаму ж яны ўвесь час спрабуюць знішчыць і прынізіць мемарыял, не ўшаноўваюць памяць загінулых? | Position Tokenization UPOS Head Deprel
1 Таксама CCONJ 2 cc
2 застаецца VERB 0 root
3 пытанне NOUN 2 nsubj
4 , PUNCT 7 punct
5 калі SCONJ 7 mark
6 там ADV 7 advmod
7 расстрэльвалі VERB 2 advcl
8 нацысты NOUN 7 nsubj
9 , PUNCT 15 punct
10 чаму ADV 15 advmod
11 ж PART 10 advmod
12 яны PRON 15 nsubj
13 ўвесь DET 14 det
14 час NOUN 15 obl
15 спрабуюць VERB 7 conj
16 знішчыць VERB 15 xcomp
17 і CCONJ 18 cc
18 прынізіць VERB 16 conj
19 мемарыял NOUN 18 obj
20 , PUNCT 22 punct
21 не PART 22 advmod
22 ўшаноўваюць VERB 2 conj
23 памяць NOUN 22 nsubj
24 загінулых ADJ 23 nmod
25 ? 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: Мо яны лічаць сябе нашчадкамі нацыстаў, альбо ня вераць сваёй жа хлусні, а можа тое і другое. | Position Tokenization UPOS Head Deprel
1 Мо ADV 3 advmod
2 яны PRON 3 nsubj
3 лічаць VERB 0 root
4 сябе PRON 3 obj
5 нашчадкамі NOUN 3 xcomp
6 нацыстаў NOUN 5 nmod
7 , PUNCT 10 punct
8 альбо CCONJ 10 cc
9 ня PART 10 advmod
10 вераць VERB 5 conj
11 сваёй DET 13 det
12 жа PART 13 advmod
13 хлусні NOUN 10 iobj
14 , PUNCT 17 punct
15 а CCONJ 17 cc
16 можа VERB 17 parataxis
17 тое PRON 5 conj
18 і CCONJ 19 cc
19 другое ADJ 17 conj
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: Цалкам артыкул можна прачытаць на <a href="https://m.vk.com/wall304731386_308">старонцы Плавінскага</a>. | Position Tokenization UPOS Head Deprel
1 Цалкам ADV 3 advmod
2 артыкул NOUN 3 nsubj
3 можна VERB 0 root
4 прачытаць VERB 3 csubj
5 на ADP 6 case
6 < SYM 4 dep
7 a X 6 flat:foreign
8 href= X 6 appos
9 " PUNCT 8 punct
10 https://m.vk.com/wall304731386_308 X 8 appos
11 " PUNCT 10 punct
12 > SYM 10 parataxis
13 старонцы NOUN 12 appos
14 Плавінскага PROPN 13 nmod
15 </a> SYM 14 dep
16 . 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: 2 красавіка 1996 “Дзень адзінства народаў Беларусі й Расіі” аб’яднаў беларусаў у шматтысячны мітынг супраць першых інтэграцыйных пагадненьняў з Расіяй. | Position Tokenization UPOS Head Deprel
1 2 ADJ 12 obl
2 красавіка NOUN 1 flat
3 1996 ADJ 2 amod
4 “ PUNCT 5 punct
5 Дзень NOUN 12 nsubj
6 адзінства NOUN 5 nmod
7 народаў NOUN 6 nmod
8 Беларусі PROPN 7 nmod
9 й CCONJ 10 cc
10 Расіі PROPN 8 conj
11 ” PUNCT 5 punct
12 аб’яднаў VERB 0 root
13 беларусаў NOUN 12 obj
14 у ADP 16 case
15 шматтысячны ADJ 16 amod
16 мітынг NOUN 12 obl
17 супраць ADP 20 case
18 першых ADJ 20 amod
19 інтэграцыйных ADJ 20 amod
20 пагадненьняў NOUN 12 obl
21 з ADP 22 case
22 Расіяй PROPN 20 nmod
23 . PUNCT 12 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: Пастановаю Народнага Сакратарыяту БНР ад 3 сакавіка 1918 году. | Position Tokenization UPOS Head Deprel
1 Пастановаю NOUN 0 root
2 Народнага ADJ 3 amod
3 Сакратарыяту NOUN 1 nmod
4 БНР PROPN 3 appos
5 ад ADP 6 case
6 3 ADJ 1 nmod
7 сакавіка NOUN 6 flat
8 1918 ADJ 9 amod
9 году 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: 🔹Беларуская мова абвяшчаецца дзяржаўнай і абавязковаю мовай Беларускае Народнае Рэспублікі. | Position Tokenization UPOS Head Deprel
1 🔹Беларуская ADJ 2 amod
2 мова NOUN 3 nsubj
3 абвяшчаецца VERB 0 root
4 дзяржаўнай ADJ 7 amod
5 і CCONJ 6 cc
6 абавязковаю ADJ 4 conj
7 мовай NOUN 3 obl
8 Беларускае ADJ 10 amod
9 Народнае ADJ 10 amod
10 Рэспублікі NOUN 7 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: 🔹Пры гэтым, нацыянальным меншасьцям (расейцам, палякам і габрэям) у афіцыйнай камунікацыі зь дзяржаўнымі ўстановамі даецца права карыстацца сваёй мовай. | Position Tokenization UPOS Head Deprel
1 🔹Пры ADP 2 case
2 гэтым PRON 19 obl
3 , PUNCT 5 punct
4 нацыянальным ADJ 5 amod
5 меншасьцям NOUN 2 conj
6 ( PUNCT 7 punct
7 расейцам NOUN 5 appos
8 , PUNCT 9 punct
9 палякам NOUN 7 conj
10 і CCONJ 11 cc
11 габрэям NOUN 7 conj
12 ) PUNCT 7 punct
13 у ADP 15 case
14 афіцыйнай ADJ 15 amod
15 камунікацыі NOUN 19 obl
16 зь ADP 18 case
17 дзяржаўнымі ADJ 18 amod
18 ўстановамі NOUN 19 obl
19 даецца VERB 0 root
20 права NOUN 19 nsubj
21 карыстацца VERB 20 obl
22 сваёй DET 23 det
23 мовай NOUN 21 obl
24 . 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: 🔹Усе акты, дакумэнты і ліставаньне дзяржаўных устаноў павінна ажыцьцяўляцца на дзяржаўнай беларускай мове. | Position Tokenization UPOS Head Deprel
1 🔹Усе DET 2 det
2 акты NOUN 10 nsubj
3 , PUNCT 4 punct
4 дакумэнты NOUN 2 conj
5 і CCONJ 6 cc
6 ліставаньне NOUN 2 conj
7 дзяржаўных ADJ 8 amod
8 устаноў NOUN 6 nmod
9 павінна ADJ 10 advmod
10 ажыцьцяўляцца VERB 0 root
11 на ADP 14 case
12 дзяржаўнай ADJ 14 amod
13 беларускай ADJ 14 amod
14 мове NOUN 10 obl
15 . 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: ❗️Гэтаю пастановаю быў закладзены падмурак палітыкі шматмоўнасьці, якая была і ў першыя гады існаваньня БССР. | Position Tokenization UPOS Head Deprel
1 ❗️ SYM 5 parataxis
2 Гэтаю DET 3 det
3 пастановаю NOUN 5 iobj
4 быў AUX 5 aux:pass
5 закладзены VERB 0 root
6 падмурак NOUN 5 nsubj:pass
7 палітыкі NOUN 6 nmod
8 шматмоўнасьці NOUN 7 nmod
9 , PUNCT 11 punct
10 якая PRON 11 nsubj
11 была VERB 7 acl:relcl
12 і PART 15 advmod
13 ў ADP 15 case
14 першыя ADJ 15 amod
15 гады NOUN 11 obl
16 існаваньня NOUN 15 nmod
17 БССР PROPN 16 nmod
18 . 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: P.S. | Position Tokenization UPOS Head Deprel
1 P.S X 0 root
2 . 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: Цікавы <a_href="LINK">артыкул</a> пра гісторыю дзяржаўнасьці беларускае мовы ад мовазнаўцы Вінцука Вячоркі. | Position Tokenization UPOS Head Deprel
1 Цікавы ADJ 2 amod
2 <a_href="LINK"> SYM 3 dep
3 артыкул NOUN 0 root
4 </a> SYM 3 dep
5 пра ADP 6 case
6 гісторыю NOUN 3 nmod
7 дзяржаўнасьці NOUN 6 nmod
8 беларускае ADJ 9 amod
9 мовы NOUN 7 nmod
10 ад ADP 11 case
11 мовазнаўцы NOUN 6 nmod
12 Вінцука PROPN 11 nmod
13 Вячоркі PROPN 12 flat:name
14 . PUNCT 3 punct |
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