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:
CiU quiere tener cuanto antes su policía autonómica en Cataluña y a negociarlo con el Gobierno se dedica discretísimamente su ministra María Eugenia Cuenca.
Postion	Tokenization
1	CiU
2	quiere
3	tener
4	cuanto
5	antes
6	su
7	policía
8	autonómica
9	en
10	Cataluña
11	y
12	a
13	negociarlo
14	negociar
15	lo
16	con
17	el
18	Gobierno
19	se
20	dedica
21	discretísimamente
22	su
23	ministra
24	María
25	Eugenia
26	Cuenca
27	.
Position	Tokenization	UPOS	Head	Deprel
1	CiU	PROPN	2	nsubj
2	quiere	VERB	0	root
3	tener	VERB	2	xcomp
4	cuanto	NOUN	3	advmod
5	antes	ADV	4	fixed
6	su	DET	7	det
7	policía	NOUN	3	obj
8	autonómica	ADJ	7	amod
9	en	ADP	10	case
10	Cataluña	PROPN	3	obl
11	y	CCONJ	19	cc
12	a	ADP	13	mark
13	negociarlo	_	None	_
14	negociar	VERB	19	xcomp
15	lo	PRON	13	obj
16	con	ADP	17	case
17	el	DET	17	det
18	Gobierno	PROPN	13	obl
19	se	PRON	19	expl:pv
20	dedica	VERB	2	conj
21	discretísimamente	ADV	19	advmod
22	su	DET	22	det
23	ministra	NOUN	19	nsubj
24	María	PROPN	22	appos
25	Eugenia	PROPN	23	flat
26	Cuenca	PROPN	23	flat
27	.	PUNCT	2	punct