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:
"Debe mentalizarse que nadie le va a dar el dinero que iba a ganar por la revancha contra De La Hoya.
Postion	Tokenization
1	"
2	Debe
3	mentalizarse
4	mentalizar
5	se
6	que
7	nadie
8	le
9	va
10	a
11	dar
12	el
13	dinero
14	que
15	iba
16	a
17	ganar
18	por
19	la
20	revancha
21	contra
22	De
23	La
24	Hoya
25	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	3	punct
2	Debe	AUX	3	aux
3	mentalizarse	_	None	_
4	mentalizar	VERB	0	root
5	se	PRON	3	expl:pv
6	que	SCONJ	10	mark
7	nadie	PRON	10	nsubj
8	le	PRON	10	obj
9	va	AUX	10	aux
10	a	ADP	10	mark
11	dar	VERB	3	xcomp
12	el	DET	12	det
13	dinero	NOUN	10	obj
14	que	PRON	16	obj
15	iba	AUX	16	aux
16	a	ADP	16	mark
17	ganar	VERB	12	acl
18	por	ADP	19	case
19	la	DET	19	det
20	revancha	NOUN	16	obl
21	contra	ADP	23	case
22	De	ADP	23	case
23	La	DET	23	det
24	Hoya	PROPN	19	nmod
25	.	PUNCT	3	punct