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:
Y me consta que fue el conseller de la Presidència Xavier Trias quien jugó un papel significativo dentro de su grupo para que se pudiera producir este primer paso.
Postion	Tokenization
1	Y
2	me
3	consta
4	que
5	fue
6	el
7	conseller
8	de
9	la
10	Presidència
11	Xavier
12	Trias
13	quien
14	jugó
15	un
16	papel
17	significativo
18	dentro
19	de
20	su
21	grupo
22	para
23	que
24	se
25	pudiera
26	producir
27	este
28	primer
29	paso
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Y	CCONJ	3	advmod
2	me	PRON	3	iobj
3	consta	VERB	0	root
4	que	SCONJ	5	mark
5	fue	AUX	3	csubj
6	el	DET	7	det
7	conseller	NOUN	5	nsubj
8	de	ADP	10	case
9	la	DET	10	det
10	Presidència	PROPN	7	nmod
11	Xavier	PROPN	7	appos
12	Trias	PROPN	11	flat
13	quien	PRON	14	nsubj
14	jugó	VERB	5	ccomp
15	un	DET	16	det
16	papel	NOUN	14	obj
17	significativo	ADJ	16	amod
18	dentro	ADV	17	advmod
19	de	ADP	21	case
20	su	DET	21	det
21	grupo	NOUN	18	obl
22	para	ADP	26	mark
23	que	SCONJ	26	mark
24	se	PRON	26	expl:pv
25	pudiera	AUX	26	aux
26	producir	VERB	17	acl
27	este	DET	29	det
28	primer	ADJ	29	amod
29	paso	NOUN	26	nsubj
30	.	PUNCT	3	punct