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:
"No necesito esa pelea porque la primera la gané y me siento muy bien dentro de los supergallos al no tener problemas de peso", explicó Barrera.
Postion	Tokenization
1	"
2	No
3	necesito
4	esa
5	pelea
6	porque
7	la
8	primera
9	la
10	gané
11	y
12	me
13	siento
14	muy
15	bien
16	dentro
17	de
18	los
19	supergallos
20	al
21	no
22	tener
23	problemas
24	de
25	peso
26	"
27	,
28	explicó
29	Barrera
30	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	3	punct
2	No	ADV	3	advmod
3	necesito	VERB	28	ccomp
4	esa	DET	5	det
5	pelea	NOUN	3	obj
6	porque	SCONJ	10	mark
7	la	DET	8	det
8	primera	ADJ	10	iobj
9	la	PRON	10	obj
10	gané	VERB	3	advcl
11	y	CCONJ	13	cc
12	me	PRON	13	expl:pv
13	siento	VERB	10	conj
14	muy	ADV	15	advmod
15	bien	ADV	13	obj
16	dentro	ADV	13	advmod
17	de	ADP	19	case
18	los	DET	19	det
19	supergallos	NOUN	16	obl
20	al	ADP	22	mark
21	no	ADV	22	advmod
22	tener	VERB	13	advcl
23	problemas	NOUN	22	obj
24	de	ADP	25	case
25	peso	NOUN	23	nmod
26	"	PUNCT	3	punct
27	,	PUNCT	3	punct
28	explicó	VERB	0	root
29	Barrera	PROPN	28	nsubj
30	.	PUNCT	28	punct