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 Chile, Ricardo Lagos, visitó hoy Martes a las tropas de su país desplegadas en Timor Oriental y aseguró en Dili, la capital, que su Gobierno colaborará en la reconstrucción de esta pequeña nación.
Postion	Tokenization
1	El
2	presidente
3	de
4	Chile
5	,
6	Ricardo
7	Lagos
8	,
9	visitó
10	hoy
11	Martes
12	a
13	las
14	tropas
15	de
16	su
17	país
18	desplegadas
19	en
20	Timor
21	Oriental
22	y
23	aseguró
24	en
25	Dili
26	,
27	la
28	capital
29	,
30	que
31	su
32	Gobierno
33	colaborará
34	en
35	la
36	reconstrucción
37	de
38	esta
39	pequeña
40	nación
41	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	presidente	NOUN	9	nsubj
3	de	ADP	4	case
4	Chile	PROPN	2	nmod
5	,	PUNCT	6	punct
6	Ricardo	PROPN	2	appos
7	Lagos	PROPN	6	flat
8	,	PUNCT	6	punct
9	visitó	VERB	0	root
10	hoy	ADV	9	advmod
11	Martes	NOUN	10	obl
12	a	ADP	14	case
13	las	DET	14	det
14	tropas	NOUN	9	obj
15	de	ADP	17	case
16	su	DET	17	det
17	país	NOUN	14	nmod
18	desplegadas	ADJ	14	amod
19	en	ADP	20	case
20	Timor	PROPN	18	obl
21	Oriental	PROPN	20	flat
22	y	CCONJ	23	cc
23	aseguró	VERB	9	conj
24	en	ADP	25	case
25	Dili	PROPN	23	obl
26	,	PUNCT	28	punct
27	la	DET	28	det
28	capital	NOUN	25	appos
29	,	PUNCT	28	punct
30	que	SCONJ	33	mark
31	su	DET	32	det
32	Gobierno	PROPN	33	nsubj
33	colaborará	VERB	23	ccomp
34	en	ADP	36	case
35	la	DET	36	det
36	reconstrucción	NOUN	33	obj
37	de	ADP	40	case
38	esta	DET	40	det
39	pequeña	ADJ	40	amod
40	nación	NOUN	36	nmod
41	.	PUNCT	9	punct