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:
Quizá porque ha restado protagonismo a CiU es por lo que se comenta en ciertos sectores el poco aprecio que le tiene Roca, a pesar de que Pilar se lleva bien con otros nacionalistas.
Postion	Tokenization
1	Quizá
2	porque
3	ha
4	restado
5	protagonismo
6	a
7	CiU
8	es
9	por
10	lo
11	que
12	se
13	comenta
14	en
15	ciertos
16	sectores
17	el
18	poco
19	aprecio
20	que
21	le
22	tiene
23	Roca
24	,
25	a
26	pesar
27	de
28	que
29	Pilar
30	se
31	lleva
32	bien
33	con
34	otros
35	nacionalistas
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Quizá	ADV	4	advmod
2	porque	SCONJ	4	mark
3	ha	AUX	4	aux
4	restado	VERB	8	advcl
5	protagonismo	NOUN	4	obj
6	a	ADP	7	case
7	CiU	PROPN	4	obj
8	es	AUX	0	root
9	por	ADP	13	mark
10	lo	PRON	13	det
11	que	PRON	13	obl
12	se	PRON	13	expl:pass
13	comenta	VERB	8	ccomp
14	en	ADP	16	case
15	ciertos	DET	16	det
16	sectores	NOUN	13	obl
17	el	DET	19	det
18	poco	PRON	17	nmod
19	aprecio	NOUN	13	nsubj
20	que	PRON	22	obj
21	le	PRON	22	obj
22	tiene	VERB	19	acl
23	Roca	PROPN	22	nsubj
24	,	PUNCT	31	punct
25	a	ADP	31	mark
26	pesar	NOUN	25	fixed
27	de	ADP	25	fixed
28	que	SCONJ	25	fixed
29	Pilar	PROPN	31	nsubj
30	se	PRON	31	expl:pv
31	lleva	VERB	13	advcl
32	bien	ADV	31	advmod
33	con	ADP	35	case
34	otros	DET	35	det
35	nacionalistas	NOUN	31	obl
36	.	PUNCT	8	punct