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 suenan para ello la directora del Centro de Investigaciones Sociológicas, Pilar Castillo, la eurodiputada Ana Palacio; la ya exministra Soledad Becerril, y la alcaldesa de Málaga, Celia Villalobos.
Postion	Tokenization
1	Y
2	suenan
3	para
4	ello
5	la
6	directora
7	del
8	Centro
9	de
10	Investigaciones
11	Sociológicas
12	,
13	Pilar
14	Castillo
15	,
16	la
17	eurodiputada
18	Ana
19	Palacio
20	;
21	la
22	ya
23	exministra
24	Soledad
25	Becerril
26	,
27	y
28	la
29	alcaldesa
30	de
31	Málaga
32	,
33	Celia
34	Villalobos
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Y	CCONJ	2	advmod
2	suenan	VERB	0	root
3	para	ADP	4	case
4	ello	PRON	2	obl
5	la	DET	6	det
6	directora	NOUN	2	nsubj
7	del	ADP	8	case
8	Centro	PROPN	6	nmod
9	de	ADP	10	case
10	Investigaciones	PROPN	8	flat
11	Sociológicas	PROPN	10	flat
12	,	PUNCT	13	punct
13	Pilar	PROPN	6	appos
14	Castillo	PROPN	13	flat
15	,	PUNCT	17	punct
16	la	DET	17	det
17	eurodiputada	NOUN	6	appos
18	Ana	PROPN	17	appos
19	Palacio	PROPN	18	flat
20	;	PUNCT	23	punct
21	la	DET	23	det
22	ya	ADV	23	advmod
23	exministra	NOUN	6	appos
24	Soledad	PROPN	23	appos
25	Becerril	PROPN	24	flat
26	,	PUNCT	23	punct
27	y	CCONJ	29	cc
28	la	DET	29	det
29	alcaldesa	NOUN	6	conj
30	de	ADP	31	case
31	Málaga	PROPN	29	nmod
32	,	PUNCT	33	punct
33	Celia	PROPN	29	appos
34	Villalobos	PROPN	33	flat
35	.	PUNCT	2	punct