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 chileno abandonó Dili con destino a Brunei, donde participará desde mañana en la cumbre del Foro de Cooperación Económica de Asia y Pacífico (APEC).
Postion	Tokenization
1	El
2	presidente
3	chileno
4	abandonó
5	Dili
6	con
7	destino
8	a
9	Brunei
10	,
11	donde
12	participará
13	desde
14	mañana
15	en
16	la
17	cumbre
18	del
19	Foro
20	de
21	Cooperación
22	Económica
23	de
24	Asia
25	y
26	Pacífico
27	(
28	APEC
29	)
30	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	presidente	NOUN	4	nsubj
3	chileno	ADJ	2	amod
4	abandonó	VERB	0	root
5	Dili	PROPN	4	obj
6	con	ADP	7	case
7	destino	NOUN	4	obl
8	a	ADP	9	case
9	Brunei	PROPN	7	nmod
10	,	PUNCT	12	punct
11	donde	PRON	12	obl
12	participará	VERB	9	acl
13	desde	ADP	14	case
14	mañana	ADV	12	advmod
15	en	ADP	17	case
16	la	DET	17	det
17	cumbre	NOUN	12	obj
18	del	ADP	19	case
19	Foro	PROPN	17	nmod
20	de	ADP	21	case
21	Cooperación	PROPN	19	flat
22	Económica	PROPN	21	flat
23	de	ADP	24	case
24	Asia	PROPN	21	flat
25	y	CCONJ	26	cc
26	Pacífico	PROPN	21	conj
27	(	PUNCT	28	punct
28	APEC	PROPN	19	flat
29	)	PUNCT	28	punct
30	.	PUNCT	4	punct