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:
Sin embargo, dijo que Trinidad se había equivocado al no quererle dar la revancha a De La Hoya en la categoría de los pesos wélter porque era la pelea que todos los aficionados estaban esperando.
Postion	Tokenization
1	Sin
2	embargo
3	,
4	dijo
5	que
6	Trinidad
7	se
8	había
9	equivocado
10	al
11	no
12	quererle
13	querer
14	le
15	dar
16	la
17	revancha
18	a
19	De
20	La
21	Hoya
22	en
23	la
24	categoría
25	de
26	los
27	pesos
28	wélter
29	porque
30	era
31	la
32	pelea
33	que
34	todos
35	los
36	aficionados
37	estaban
38	esperando
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Sin	ADP	4	advmod
2	embargo	NOUN	1	fixed
3	,	PUNCT	1	punct
4	dijo	VERB	0	root
5	que	SCONJ	9	mark
6	Trinidad	PROPN	9	nsubj
7	se	PRON	9	expl:pv
8	había	AUX	9	aux
9	equivocado	VERB	4	ccomp
10	al	ADP	14	mark
11	no	ADV	14	advmod
12	quererle	_	None	_
13	querer	AUX	14	aux
14	le	PRON	14	obj
15	dar	VERB	9	advcl
16	la	DET	16	det
17	revancha	NOUN	14	obj
18	a	ADP	20	case
19	De	ADP	20	case
20	La	DET	20	det
21	Hoya	PROPN	14	obj
22	en	ADP	23	case
23	la	DET	23	det
24	categoría	NOUN	14	obl
25	de	ADP	26	case
26	los	DET	26	det
27	pesos	NOUN	23	nmod
28	wélter	NOUN	26	compound
29	porque	SCONJ	31	mark
30	era	AUX	31	cop
31	la	DET	31	det
32	pelea	NOUN	9	advcl
33	que	PRON	37	obj
34	todos	DET	34	det
35	los	DET	35	det
36	aficionados	NOUN	37	nsubj
37	estaban	AUX	37	aux
38	esperando	VERB	31	acl
39	.	PUNCT	4	punct