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:
Estrada es blanco de una campaña de desprestigio liderada por la vicepresidenta del país, Gloria Macapagal-Arroyo, desde que el gobernador de la provincia de Ilocos del Sur y antiguo amigo del presidente, Luis Singson, le acusó de haberse embolsado más de ocho millones de dólares procedentes del juego ilegal y de comisiones de una empresa tabacalera.
Postion	Tokenization
1	Estrada
2	es
3	blanco
4	de
5	una
6	campaña
7	de
8	desprestigio
9	liderada
10	por
11	la
12	vicepresidenta
13	del
14	país
15	,
16	Gloria
17	Macapagal-Arroyo
18	,
19	desde
20	que
21	el
22	gobernador
23	de
24	la
25	provincia
26	de
27	Ilocos
28	del
29	Sur
30	y
31	antiguo
32	amigo
33	del
34	presidente
35	,
36	Luis
37	Singson
38	,
39	le
40	acusó
41	de
42	haberse
43	haber
44	se
45	embolsado
46	más
47	de
48	ocho
49	millones
50	de
51	dólares
52	procedentes
53	del
54	juego
55	ilegal
56	y
57	de
58	comisiones
59	de
60	una
61	empresa
62	tabacalera
63	.
Position	Tokenization	UPOS	Head	Deprel
1	Estrada	PROPN	3	nsubj
2	es	AUX	3	cop
3	blanco	NOUN	0	root
4	de	ADP	6	case
5	una	DET	6	det
6	campaña	NOUN	3	nmod
7	de	ADP	8	case
8	desprestigio	NOUN	6	nmod
9	liderada	ADJ	6	amod
10	por	ADP	12	case
11	la	DET	12	det
12	vicepresidenta	NOUN	9	obj
13	del	ADP	14	case
14	país	NOUN	12	nmod
15	,	PUNCT	16	punct
16	Gloria	PROPN	12	appos
17	Macapagal-Arroyo	PROPN	16	flat
18	,	PUNCT	16	punct
19	desde	ADP	40	mark
20	que	SCONJ	40	mark
21	el	DET	22	det
22	gobernador	NOUN	40	nsubj
23	de	ADP	25	case
24	la	DET	25	det
25	provincia	NOUN	22	nmod
26	de	ADP	27	case
27	Ilocos	PROPN	25	nmod
28	del	ADP	29	case
29	Sur	PROPN	27	flat
30	y	CCONJ	32	cc
31	antiguo	ADJ	32	amod
32	amigo	NOUN	22	conj
33	del	ADP	34	case
34	presidente	NOUN	32	nmod
35	,	PUNCT	36	punct
36	Luis	PROPN	22	appos
37	Singson	PROPN	36	flat
38	,	PUNCT	36	punct
39	le	PRON	40	iobj
40	acusó	VERB	3	advcl
41	de	ADP	44	mark
42	haberse	_	None	_
43	haber	AUX	44	aux
44	se	PRON	44	iobj
45	embolsado	VERB	40	ccomp
46	más	ADV	47	advmod
47	de	ADP	47	case
48	ocho	NUM	48	nummod
49	millones	NOUN	44	obj
50	de	ADP	50	case
51	dólares	NOUN	48	nmod
52	procedentes	ADJ	48	amod
53	del	ADP	53	case
54	juego	NOUN	51	nmod
55	ilegal	ADJ	53	amod
56	y	CCONJ	57	cc
57	de	ADP	57	case
58	comisiones	NOUN	53	conj
59	de	ADP	60	case
60	una	DET	60	det
61	empresa	NOUN	57	nmod
62	tabacalera	ADJ	60	amod
63	.	PUNCT	3	punct