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:
"La gran interrogante que tengo después del veredicto de los jueces es qué fue lo que me faltó para ganar en Las Vegas, porque es la segunda vez que me roban una pelea", se quejó.
Postion	Tokenization
1	"
2	La
3	gran
4	interrogante
5	que
6	tengo
7	después
8	del
9	veredicto
10	de
11	los
12	jueces
13	es
14	qué
15	fue
16	lo
17	que
18	me
19	faltó
20	para
21	ganar
22	en
23	Las
24	Vegas
25	,
26	porque
27	es
28	la
29	segunda
30	vez
31	que
32	me
33	roban
34	una
35	pelea
36	"
37	,
38	se
39	quejó
40	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	13	punct
2	La	DET	4	det
3	gran	ADJ	4	amod
4	interrogante	NOUN	13	nsubj
5	que	PRON	6	obj
6	tengo	VERB	4	acl
7	después	ADV	6	advmod
8	del	ADP	9	case
9	veredicto	NOUN	7	obl
10	de	ADP	12	case
11	los	DET	12	det
12	jueces	NOUN	9	nmod
13	es	AUX	39	ccomp
14	qué	PRON	15	nsubj
15	fue	AUX	13	ccomp
16	lo	PRON	19	det
17	que	PRON	19	nsubj
18	me	PRON	19	iobj
19	faltó	VERB	15	ccomp
20	para	ADP	21	mark
21	ganar	VERB	19	advcl
22	en	ADP	24	case
23	Las	DET	24	det
24	Vegas	PROPN	21	obl
25	,	PUNCT	30	punct
26	porque	SCONJ	30	mark
27	es	AUX	30	cop
28	la	DET	30	det
29	segunda	ADJ	30	amod
30	vez	NOUN	13	advcl
31	que	PRON	33	obl
32	me	PRON	33	iobj
33	roban	VERB	30	acl
34	una	DET	35	det
35	pelea	NOUN	33	obj
36	"	PUNCT	13	punct
37	,	PUNCT	13	punct
38	se	PRON	39	expl:pv
39	quejó	VERB	0	root
40	.	PUNCT	39	punct