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:
Por ahora se han grabado 13 capítulos, aunque no se descarta que, si tiene buena acogida, siga la estela de otra comedia de éxito en la tele autonómica: Plats bruts.
Postion	Tokenization
1	Por
2	ahora
3	se
4	han
5	grabado
6	13
7	capítulos
8	,
9	aunque
10	no
11	se
12	descarta
13	que
14	,
15	si
16	tiene
17	buena
18	acogida
19	,
20	siga
21	la
22	estela
23	de
24	otra
25	comedia
26	de
27	éxito
28	en
29	la
30	tele
31	autonómica
32	:
33	Plats
34	bruts
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Por	ADP	5	advmod
2	ahora	ADV	1	fixed
3	se	PRON	5	expl:pass
4	han	AUX	5	aux
5	grabado	VERB	0	root
6	13	NUM	7	nummod
7	capítulos	NOUN	5	nsubj
8	,	PUNCT	12	punct
9	aunque	SCONJ	12	mark
10	no	ADV	12	advmod
11	se	PRON	12	expl:pass
12	descarta	VERB	5	advcl
13	que	SCONJ	20	mark
14	,	PUNCT	16	punct
15	si	SCONJ	16	mark
16	tiene	VERB	20	advcl
17	buena	ADJ	18	amod
18	acogida	NOUN	16	obj
19	,	PUNCT	16	punct
20	siga	VERB	12	csubj
21	la	DET	22	det
22	estela	NOUN	20	obj
23	de	ADP	25	case
24	otra	DET	25	det
25	comedia	NOUN	22	nmod
26	de	ADP	27	case
27	éxito	NOUN	25	nmod
28	en	ADP	30	case
29	la	DET	30	det
30	tele	NOUN	25	nmod
31	autonómica	ADJ	30	amod
32	:	PUNCT	33	punct
33	Plats	PROPN	25	appos
34	bruts	PROPN	33	flat
35	.	PUNCT	5	punct