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:
Además, rodamos unas escenas mientras se celebraban los premios VH1 de moda, y muchos de ellos ya iban a ir, de modo que no les importó participar.
Postion	Tokenization
1	Además
2	,
3	rodamos
4	unas
5	escenas
6	mientras
7	se
8	celebraban
9	los
10	premios
11	VH1
12	de
13	moda
14	,
15	y
16	muchos
17	de
18	ellos
19	ya
20	iban
21	a
22	ir
23	,
24	de
25	modo
26	que
27	no
28	les
29	importó
30	participar
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Además	ADV	3	advmod
2	,	PUNCT	1	punct
3	rodamos	VERB	0	root
4	unas	DET	5	det
5	escenas	NOUN	3	obj
6	mientras	SCONJ	8	mark
7	se	PRON	8	expl:pass
8	celebraban	VERB	3	advcl
9	los	DET	10	det
10	premios	NOUN	8	nsubj
11	VH1	PROPN	10	appos
12	de	ADP	13	case
13	moda	NOUN	10	nmod
14	,	PUNCT	22	punct
15	y	CCONJ	22	cc
16	muchos	PRON	22	nsubj
17	de	ADP	18	case
18	ellos	PRON	16	nmod
19	ya	ADV	22	advmod
20	iban	AUX	22	aux
21	a	ADP	22	mark
22	ir	VERB	3	conj
23	,	PUNCT	29	punct
24	de	ADP	29	mark
25	modo	NOUN	24	fixed
26	que	SCONJ	24	fixed
27	no	ADV	29	advmod
28	les	PRON	29	obj
29	importó	VERB	22	advcl
30	participar	VERB	29	csubj
31	.	PUNCT	3	punct