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:
Torrent es Catalina, una joven encerrada voluntariamente en un cine de barrio que se convierte en su puerta a un mundo de fantasía y ensoñación más soportable que la realidad.
Postion	Tokenization
1	Torrent
2	es
3	Catalina
4	,
5	una
6	joven
7	encerrada
8	voluntariamente
9	en
10	un
11	cine
12	de
13	barrio
14	que
15	se
16	convierte
17	en
18	su
19	puerta
20	a
21	un
22	mundo
23	de
24	fantasía
25	y
26	ensoñación
27	más
28	soportable
29	que
30	la
31	realidad
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Torrent	PROPN	3	nsubj
2	es	AUX	3	cop
3	Catalina	PROPN	0	root
4	,	PUNCT	6	punct
5	una	DET	6	det
6	joven	NOUN	3	appos
7	encerrada	ADJ	6	amod
8	voluntariamente	ADV	7	advmod
9	en	ADP	11	case
10	un	DET	11	det
11	cine	NOUN	7	obl
12	de	ADP	13	case
13	barrio	NOUN	11	nmod
14	que	PRON	16	nsubj
15	se	PRON	16	expl:pv
16	convierte	VERB	11	acl
17	en	ADP	19	case
18	su	DET	19	det
19	puerta	NOUN	16	obj
20	a	ADP	22	case
21	un	DET	22	det
22	mundo	NOUN	19	nmod
23	de	ADP	24	case
24	fantasía	NOUN	22	nmod
25	y	CCONJ	26	cc
26	ensoñación	NOUN	24	conj
27	más	ADV	28	advmod
28	soportable	ADJ	22	amod
29	que	SCONJ	31	mark
30	la	DET	31	det
31	realidad	NOUN	28	obl
32	.	PUNCT	3	punct