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:
Katsav, de 54 años, intentará presentar la eventual elección de Peres como una preferencia por la elite frente a un hombre del pueblo, ya que él nació y se crió en una familia modesta.
Postion	Tokenization
1	Katsav
2	,
3	de
4	54
5	años
6	,
7	intentará
8	presentar
9	la
10	eventual
11	elección
12	de
13	Peres
14	como
15	una
16	preferencia
17	por
18	la
19	elite
20	frente
21	a
22	un
23	hombre
24	del
25	pueblo
26	,
27	ya
28	que
29	él
30	nació
31	y
32	se
33	crió
34	en
35	una
36	familia
37	modesta
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Katsav	PROPN	7	nsubj
2	,	PUNCT	5	punct
3	de	ADP	5	case
4	54	NUM	5	nummod
5	años	NOUN	1	nmod
6	,	PUNCT	5	punct
7	intentará	VERB	0	root
8	presentar	VERB	7	xcomp
9	la	DET	11	det
10	eventual	ADJ	11	amod
11	elección	NOUN	8	obj
12	de	ADP	13	case
13	Peres	PROPN	11	nmod
14	como	SCONJ	16	mark
15	una	DET	16	det
16	preferencia	NOUN	8	obj
17	por	ADP	19	case
18	la	DET	19	det
19	elite	NOUN	16	nmod
20	frente	NOUN	23	case
21	a	ADP	20	fixed
22	un	DET	23	det
23	hombre	NOUN	8	obl
24	del	ADP	25	case
25	pueblo	NOUN	23	nmod
26	,	PUNCT	30	punct
27	ya	ADV	30	mark
28	que	SCONJ	27	fixed
29	él	PRON	30	nsubj
30	nació	VERB	7	advcl
31	y	CCONJ	33	cc
32	se	PRON	33	expl:pv
33	crió	VERB	30	conj
34	en	ADP	36	case
35	una	DET	36	det
36	familia	NOUN	30	obl
37	modesta	ADJ	36	amod
38	.	PUNCT	7	punct