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:
Arambulet, de 23 años, fue el mejor en la pelea pactada a doce asaltos ante un incómodo García, para terminar imponiéndose en las tarjetas por 116-113, 117-112 y 119-108.
Postion	Tokenization
1	Arambulet
2	,
3	de
4	23
5	años
6	,
7	fue
8	el
9	mejor
10	en
11	la
12	pelea
13	pactada
14	a
15	doce
16	asaltos
17	ante
18	un
19	incómodo
20	García
21	,
22	para
23	terminar
24	imponiéndose
25	imponiendo
26	se
27	en
28	las
29	tarjetas
30	por
31	116-113
32	,
33	117-112
34	y
35	119-108
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Arambulet	PROPN	9	nsubj
2	,	PUNCT	5	punct
3	de	ADP	5	case
4	23	NUM	5	nummod
5	años	NOUN	1	nmod
6	,	PUNCT	5	punct
7	fue	AUX	9	cop
8	el	DET	9	det
9	mejor	ADJ	0	root
10	en	ADP	12	case
11	la	DET	12	det
12	pelea	NOUN	9	obl
13	pactada	ADJ	12	amod
14	a	ADP	16	case
15	doce	NUM	16	nummod
16	asaltos	NOUN	12	nmod
17	ante	ADP	20	case
18	un	DET	20	det
19	incómodo	ADJ	20	amod
20	García	PROPN	12	nmod
21	,	PUNCT	23	punct
22	para	ADP	23	mark
23	terminar	VERB	9	advcl
24	imponiéndose	_	None	_
25	imponiendo	VERB	23	xcomp
26	se	PRON	24	expl:pv
27	en	ADP	28	case
28	las	DET	28	det
29	tarjetas	NOUN	23	obl
30	por	ADP	30	case
31	116-113	NUM	23	obl
32	,	PUNCT	32	punct
33	117-112	NUM	30	conj
34	y	CCONJ	34	cc
35	119-108	NUM	30	conj
36	.	PUNCT	9	punct