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 su parte, Solórzano reiteró que De La Hoya se siente muy cómodo y a gusto en la categoría de los pesos wélter y para nada ha pensado en enfrentarse a Trinidad en una superior.
Postion	Tokenization
1	Por
2	su
3	parte
4	,
5	Solórzano
6	reiteró
7	que
8	De
9	La
10	Hoya
11	se
12	siente
13	muy
14	cómodo
15	y
16	a
17	gusto
18	en
19	la
20	categoría
21	de
22	los
23	pesos
24	wélter
25	y
26	para
27	nada
28	ha
29	pensado
30	en
31	enfrentarse
32	enfrentar
33	se
34	a
35	Trinidad
36	en
37	una
38	superior
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Por	ADP	3	case
2	su	DET	3	det
3	parte	NOUN	6	obl
4	,	PUNCT	3	punct
5	Solórzano	PROPN	6	nsubj
6	reiteró	VERB	0	root
7	que	SCONJ	12	mark
8	De	ADP	10	case
9	La	DET	10	det
10	Hoya	PROPN	12	nsubj
11	se	PRON	12	expl:pv
12	siente	VERB	6	ccomp
13	muy	ADV	14	advmod
14	cómodo	ADJ	12	obj
15	y	CCONJ	16	cc
16	a	ADP	14	conj
17	gusto	NOUN	16	fixed
18	en	ADP	20	case
19	la	DET	20	det
20	categoría	NOUN	12	obl
21	de	ADP	23	case
22	los	DET	23	det
23	pesos	NOUN	20	nmod
24	wélter	NOUN	23	compound
25	y	CCONJ	29	cc
26	para	ADP	29	advmod
27	nada	NOUN	26	fixed
28	ha	AUX	29	aux
29	pensado	VERB	12	conj
30	en	ADP	31	mark
31	enfrentarse	_	None	_
32	enfrentar	VERB	29	xcomp
33	se	PRON	31	expl:pv
34	a	ADP	34	case
35	Trinidad	PROPN	31	obj
36	en	ADP	37	case
37	una	DET	37	det
38	superior	ADJ	31	advmod
39	.	PUNCT	6	punct