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:
"Honestamente pienso que Trinidad debía haber pensado mucho mejor la decisión de renunciar al título wélter sin antes no haber hecho una segunda pelea contra De La Hoya", valoró Arum.
Postion	Tokenization
1	"
2	Honestamente
3	pienso
4	que
5	Trinidad
6	debía
7	haber
8	pensado
9	mucho
10	mejor
11	la
12	decisión
13	de
14	renunciar
15	al
16	título
17	wélter
18	sin
19	antes
20	no
21	haber
22	hecho
23	una
24	segunda
25	pelea
26	contra
27	De
28	La
29	Hoya
30	"
31	,
32	valoró
33	Arum
34	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	3	punct
2	Honestamente	ADV	3	advmod
3	pienso	VERB	32	ccomp
4	que	SCONJ	8	mark
5	Trinidad	PROPN	8	nsubj
6	debía	AUX	8	aux
7	haber	AUX	8	aux
8	pensado	VERB	3	ccomp
9	mucho	ADV	10	advmod
10	mejor	ADJ	8	advmod
11	la	DET	12	det
12	decisión	NOUN	8	obj
13	de	ADP	14	mark
14	renunciar	VERB	12	acl
15	al	ADP	16	case
16	título	NOUN	14	obj
17	wélter	NOUN	16	nmod
18	sin	ADP	22	mark
19	antes	ADV	22	advmod
20	no	ADV	22	advmod
21	haber	AUX	22	aux
22	hecho	VERB	14	advcl
23	una	DET	25	det
24	segunda	ADJ	25	amod
25	pelea	NOUN	22	obj
26	contra	ADP	29	case
27	De	ADP	29	case
28	La	DET	29	det
29	Hoya	PROPN	25	nmod
30	"	PUNCT	3	punct
31	,	PUNCT	3	punct
32	valoró	VERB	0	root
33	Arum	PROPN	32	nsubj
34	.	PUNCT	32	punct