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:
Piqué es un exponente significativo del protagonismo del PP en el conjunto del Estado y del papel que el partido debe jugar ante la sociedad catalana.
Postion	Tokenization
1	Piqué
2	es
3	un
4	exponente
5	significativo
6	del
7	protagonismo
8	del
9	PP
10	en
11	el
12	conjunto
13	del
14	Estado
15	y
16	del
17	papel
18	que
19	el
20	partido
21	debe
22	jugar
23	ante
24	la
25	sociedad
26	catalana
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Piqué	PROPN	4	nsubj
2	es	AUX	4	cop
3	un	DET	4	det
4	exponente	NOUN	0	root
5	significativo	ADJ	4	amod
6	del	ADP	7	case
7	protagonismo	NOUN	4	nmod
8	del	ADP	9	case
9	PP	PROPN	7	nmod
10	en	ADP	12	case
11	el	DET	12	det
12	conjunto	NOUN	7	nmod
13	del	ADP	14	case
14	Estado	PROPN	12	nmod
15	y	CCONJ	17	cc
16	del	ADP	17	case
17	papel	NOUN	7	conj
18	que	PRON	22	obj
19	el	DET	20	det
20	partido	NOUN	22	nsubj
21	debe	AUX	22	aux
22	jugar	VERB	17	acl
23	ante	ADP	25	case
24	la	DET	25	det
25	sociedad	NOUN	22	obl
26	catalana	ADJ	25	amod
27	.	PUNCT	4	punct