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:
Ana Torrent, Manuel Galiana y José Luis López Vázquez para dar vida a su recorrido por los mitos cinematográficos y por un laberinto de enigmas y simulaciones.
Postion	Tokenization
1	Ana
2	Torrent
3	,
4	Manuel
5	Galiana
6	y
7	José
8	Luis
9	López
10	Vázquez
11	para
12	dar
13	vida
14	a
15	su
16	recorrido
17	por
18	los
19	mitos
20	cinematográficos
21	y
22	por
23	un
24	laberinto
25	de
26	enigmas
27	y
28	simulaciones
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Ana	PROPN	0	root
2	Torrent	PROPN	1	flat
3	,	PUNCT	4	punct
4	Manuel	PROPN	1	conj
5	Galiana	PROPN	4	flat
6	y	CCONJ	4	cc
7	José	PROPN	4	orphan
8	Luis	PROPN	7	flat
9	López	PROPN	7	flat
10	Vázquez	PROPN	7	flat
11	para	ADP	12	mark
12	dar	VERB	1	acl
13	vida	NOUN	12	obj
14	a	ADP	16	case
15	su	DET	16	det
16	recorrido	NOUN	12	obj
17	por	ADP	19	case
18	los	DET	19	det
19	mitos	NOUN	16	nmod
20	cinematográficos	ADJ	19	amod
21	y	CCONJ	24	cc
22	por	ADP	24	case
23	un	DET	24	det
24	laberinto	NOUN	19	conj
25	de	ADP	26	case
26	enigmas	NOUN	24	nmod
27	y	CCONJ	28	cc
28	simulaciones	NOUN	26	conj
29	.	PUNCT	1	punct