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:
La decisión del CMB también fue vista por De La Hoya y el promotor Bob Arum como algo importante en la búsqueda de la credibilidad para el deporte del boxeo.
Postion	Tokenization
1	La
2	decisión
3	del
4	CMB
5	también
6	fue
7	vista
8	por
9	De
10	La
11	Hoya
12	y
13	el
14	promotor
15	Bob
16	Arum
17	como
18	algo
19	importante
20	en
21	la
22	búsqueda
23	de
24	la
25	credibilidad
26	para
27	el
28	deporte
29	del
30	boxeo
31	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	decisión	NOUN	7	nsubj
3	del	ADP	4	case
4	CMB	PROPN	2	nmod
5	también	ADV	7	advmod
6	fue	AUX	7	aux
7	vista	VERB	0	root
8	por	ADP	11	case
9	De	ADP	11	case
10	La	DET	11	det
11	Hoya	PROPN	7	obj
12	y	CCONJ	14	cc
13	el	DET	14	det
14	promotor	NOUN	11	conj
15	Bob	PROPN	14	appos
16	Arum	PROPN	15	flat
17	como	SCONJ	18	mark
18	algo	PRON	7	obj
19	importante	ADJ	18	amod
20	en	ADP	22	case
21	la	DET	22	det
22	búsqueda	NOUN	19	nmod
23	de	ADP	25	case
24	la	DET	25	det
25	credibilidad	NOUN	22	nmod
26	para	ADP	28	case
27	el	DET	28	det
28	deporte	NOUN	25	nmod
29	del	ADP	30	case
30	boxeo	NOUN	28	nmod
31	.	PUNCT	7	punct