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:
Partidario de un cine que huye de la narración y de la convencionalidad, Nunes define su próximo trabajo como "un grito en busca de un receptor".
Postion	Tokenization
1	Partidario
2	de
3	un
4	cine
5	que
6	huye
7	de
8	la
9	narración
10	y
11	de
12	la
13	convencionalidad
14	,
15	Nunes
16	define
17	su
18	próximo
19	trabajo
20	como
21	"
22	un
23	grito
24	en
25	busca
26	de
27	un
28	receptor
29	"
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Partidario	ADJ	15	amod
2	de	ADP	4	case
3	un	DET	4	det
4	cine	NOUN	1	nmod
5	que	PRON	6	nsubj
6	huye	VERB	4	acl
7	de	ADP	9	case
8	la	DET	9	det
9	narración	NOUN	6	obl
10	y	CCONJ	13	cc
11	de	ADP	13	case
12	la	DET	13	det
13	convencionalidad	NOUN	9	conj
14	,	PUNCT	1	punct
15	Nunes	PROPN	16	nsubj
16	define	VERB	0	root
17	su	DET	19	det
18	próximo	ADJ	19	amod
19	trabajo	NOUN	16	obj
20	como	SCONJ	23	mark
21	"	PUNCT	23	punct
22	un	DET	23	det
23	grito	NOUN	16	obj
24	en	ADP	28	case
25	busca	NOUN	24	fixed
26	de	ADP	24	fixed
27	un	DET	28	det
28	receptor	NOUN	23	nmod
29	"	PUNCT	23	punct
30	.	PUNCT	16	punct