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 ha robado protagonismo sobre todo al hasta ahora omnipresente Miquel Roca, el único catalán con un peso específico en las esferas de la política estatal.
Postion	Tokenization
1	Y
2	ha
3	robado
4	protagonismo
5	sobre
6	todo
7	al
8	hasta
9	ahora
10	omnipresente
11	Miquel
12	Roca
13	,
14	el
15	único
16	catalán
17	con
18	un
19	peso
20	específico
21	en
22	las
23	esferas
24	de
25	la
26	política
27	estatal
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Y	CCONJ	3	advmod
2	ha	AUX	3	aux
3	robado	VERB	0	root
4	protagonismo	NOUN	3	obj
5	sobre	ADP	3	advmod
6	todo	PRON	5	fixed
7	al	ADP	11	case
8	hasta	ADP	9	case
9	ahora	ADV	10	advmod
10	omnipresente	ADJ	11	amod
11	Miquel	PROPN	3	obj
12	Roca	PROPN	11	flat
13	,	PUNCT	16	punct
14	el	DET	16	det
15	único	ADJ	16	amod
16	catalán	NOUN	11	appos
17	con	ADP	19	case
18	un	DET	19	det
19	peso	NOUN	16	nmod
20	específico	ADJ	19	amod
21	en	ADP	23	case
22	las	DET	23	det
23	esferas	NOUN	19	nmod
24	de	ADP	26	case
25	la	DET	26	det
26	política	NOUN	23	nmod
27	estatal	ADJ	26	amod
28	.	PUNCT	3	punct