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 tokenized text:
The commission is definitely more responsive to market participants that are articulating the issue, providing specific examples and proposing the solution.
Postion	Tokenization
1	The
2	commission
3	is
4	definitely
5	more
6	responsive
7	to
8	market
9	participants
10	that
11	are
12	articulating
13	the
14	issue
15	,
16	providing
17	specific
18	examples
19	and
20	proposing
21	the
22	solution
23	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	2	det
2	commission	NOUN	6	nsubj
3	is	AUX	6	cop
4	definitely	ADV	6	advmod
5	more	ADV	6	advmod
6	responsive	ADJ	0	root
7	to	ADP	9	case
8	market	NOUN	9	compound
9	participants	NOUN	6	obl
10	that	PRON	12	nsubj
11	are	AUX	12	aux
12	articulating	VERB	9	acl:relcl
13	the	DET	14	det
14	issue	NOUN	12	obj
15	,	PUNCT	16	punct
16	providing	VERB	12	conj
17	specific	ADJ	18	amod
18	examples	NOUN	16	obj
19	and	CCONJ	20	cc
20	proposing	VERB	12	conj
21	the	DET	22	det
22	solution	NOUN	20	obj
23	.	PUNCT	6	punct