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:
El presidente de Filipinas, Joseph Estrada, inmerso en un escándalo de corrupción, dijo hoy que el gobernador que le acusó de haberse embolsado millones de dólares procedentes del juego ilegal había intentado sobornarle, pero - aseguró - "nunca utilicé ese dinero".
Postion	Tokenization
1	El
2	presidente
3	de
4	Filipinas
5	,
6	Joseph
7	Estrada
8	,
9	inmerso
10	en
11	un
12	escándalo
13	de
14	corrupción
15	,
16	dijo
17	hoy
18	que
19	el
20	gobernador
21	que
22	le
23	acusó
24	de
25	haberse
26	haber
27	se
28	embolsado
29	millones
30	de
31	dólares
32	procedentes
33	del
34	juego
35	ilegal
36	había
37	intentado
38	sobornarle
39	sobornar
40	le
41	,
42	pero
43	-
44	aseguró
45	-
46	"
47	nunca
48	utilicé
49	ese
50	dinero
51	"
52	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	presidente	NOUN	16	nsubj
3	de	ADP	4	case
4	Filipinas	PROPN	2	nmod
5	,	PUNCT	6	punct
6	Joseph	PROPN	2	appos
7	Estrada	PROPN	6	flat
8	,	PUNCT	6	punct
9	inmerso	ADJ	2	amod
10	en	ADP	12	case
11	un	DET	12	det
12	escándalo	NOUN	9	nmod
13	de	ADP	14	case
14	corrupción	NOUN	12	nmod
15	,	PUNCT	2	punct
16	dijo	VERB	0	root
17	hoy	ADV	16	advmod
18	que	SCONJ	36	mark
19	el	DET	20	det
20	gobernador	NOUN	36	nsubj
21	que	PRON	23	nsubj
22	le	PRON	23	iobj
23	acusó	VERB	20	acl
24	de	ADP	27	mark
25	haberse	_	None	_
26	haber	AUX	27	aux
27	se	PRON	27	iobj
28	embolsado	VERB	23	ccomp
29	millones	NOUN	27	obj
30	de	ADP	30	case
31	dólares	NOUN	28	nmod
32	procedentes	ADJ	28	amod
33	del	ADP	33	case
34	juego	NOUN	31	nmod
35	ilegal	ADJ	33	amod
36	había	AUX	36	aux
37	intentado	VERB	16	ccomp
38	sobornarle	_	None	_
39	sobornar	VERB	36	xcomp
40	le	PRON	37	obj
41	,	PUNCT	42	punct
42	pero	CCONJ	42	cc
43	-	PUNCT	42	punct
44	aseguró	VERB	16	conj
45	-	PUNCT	46	punct
46	"	PUNCT	46	punct
47	nunca	ADV	46	advmod
48	utilicé	VERB	42	ccomp
49	ese	DET	48	det
50	dinero	NOUN	46	obj
51	"	PUNCT	46	punct
52	.	PUNCT	16	punct