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:
Chávez, que es considerada una de las figuras más cercanas al entorno del presidente y candidato a la reelección, Alberto Fujimori, argumentó que tiene informaciones, "aunque no confirmadas", de reiteradas reuniones que habrían sostenido Toledo y su esposa Eliane Karp en Estados Unidos con familiares de Berenson.
Postion	Tokenization
1	Chávez
2	,
3	que
4	es
5	considerada
6	una
7	de
8	las
9	figuras
10	más
11	cercanas
12	al
13	entorno
14	del
15	presidente
16	y
17	candidato
18	a
19	la
20	reelección
21	,
22	Alberto
23	Fujimori
24	,
25	argumentó
26	que
27	tiene
28	informaciones
29	,
30	"
31	aunque
32	no
33	confirmadas
34	"
35	,
36	de
37	reiteradas
38	reuniones
39	que
40	habrían
41	sostenido
42	Toledo
43	y
44	su
45	esposa
46	Eliane
47	Karp
48	en
49	Estados
50	Unidos
51	con
52	familiares
53	de
54	Berenson
55	.
Position	Tokenization	UPOS	Head	Deprel
1	Chávez	PROPN	25	nsubj
2	,	PUNCT	5	punct
3	que	PRON	5	nsubj
4	es	AUX	5	aux
5	considerada	VERB	1	acl
6	una	PRON	5	obj
7	de	ADP	9	case
8	las	DET	9	det
9	figuras	NOUN	6	nmod
10	más	ADV	11	advmod
11	cercanas	ADJ	9	amod
12	al	ADP	13	case
13	entorno	NOUN	11	nmod
14	del	ADP	15	case
15	presidente	NOUN	13	nmod
16	y	CCONJ	17	cc
17	candidato	NOUN	15	conj
18	a	ADP	20	case
19	la	DET	20	det
20	reelección	NOUN	17	nmod
21	,	PUNCT	22	punct
22	Alberto	PROPN	15	appos
23	Fujimori	PROPN	22	flat
24	,	PUNCT	22	punct
25	argumentó	VERB	0	root
26	que	SCONJ	27	mark
27	tiene	VERB	25	ccomp
28	informaciones	NOUN	27	obj
29	,	PUNCT	33	punct
30	"	PUNCT	33	punct
31	aunque	SCONJ	33	mark
32	no	ADV	33	advmod
33	confirmadas	ADJ	28	amod
34	"	PUNCT	33	punct
35	,	PUNCT	33	punct
36	de	ADP	38	case
37	reiteradas	ADJ	38	amod
38	reuniones	NOUN	28	nmod
39	que	PRON	41	obj
40	habrían	AUX	41	aux
41	sostenido	VERB	38	acl
42	Toledo	PROPN	41	nsubj
43	y	CCONJ	45	cc
44	su	DET	45	det
45	esposa	NOUN	42	conj
46	Eliane	PROPN	45	appos
47	Karp	PROPN	46	flat
48	en	ADP	49	case
49	Estados	PROPN	41	obl
50	Unidos	PROPN	49	flat
51	con	ADP	52	case
52	familiares	NOUN	41	obl
53	de	ADP	54	case
54	Berenson	PROPN	52	nmod
55	.	PUNCT	25	punct