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:
Pero dos de los tres jueces encargados de decidir la pelea vieron a Morales, 10 defensas del título victoriosas, ganador sobre el cuadrilátero del Hotel Mandalay Bay de Las Vegas (Nevada).
Postion	Tokenization
1	Pero
2	dos
3	de
4	los
5	tres
6	jueces
7	encargados
8	de
9	decidir
10	la
11	pelea
12	vieron
13	a
14	Morales
15	,
16	10
17	defensas
18	del
19	título
20	victoriosas
21	,
22	ganador
23	sobre
24	el
25	cuadrilátero
26	del
27	Hotel
28	Mandalay
29	Bay
30	de
31	Las
32	Vegas
33	(
34	Nevada
35	)
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Pero	CCONJ	12	advmod
2	dos	NUM	12	nsubj
3	de	ADP	6	case
4	los	DET	6	det
5	tres	NUM	4	nummod
6	jueces	NOUN	2	nmod
7	encargados	ADJ	6	amod
8	de	ADP	9	mark
9	decidir	VERB	7	xcomp
10	la	DET	11	det
11	pelea	NOUN	9	obj
12	vieron	VERB	0	root
13	a	ADP	14	case
14	Morales	PROPN	12	obj
15	,	PUNCT	17	punct
16	10	NUM	17	nummod
17	defensas	NOUN	14	appos
18	del	ADP	19	case
19	título	NOUN	17	nmod
20	victoriosas	ADJ	17	amod
21	,	PUNCT	17	punct
22	ganador	NOUN	12	obj
23	sobre	ADP	25	case
24	el	DET	25	det
25	cuadrilátero	NOUN	22	nmod
26	del	ADP	27	case
27	Hotel	PROPN	25	nmod
28	Mandalay	PROPN	27	flat
29	Bay	PROPN	27	flat
30	de	ADP	32	case
31	Las	DET	32	det
32	Vegas	PROPN	27	nmod
33	(	PUNCT	34	punct
34	Nevada	PROPN	31	appos
35	)	PUNCT	34	punct
36	.	PUNCT	12	punct