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:
Después aparecen tres países asiáticos, destacando Vietnam, cuyas importaciones hacia nuestro país han aumentado en un 5.498 por ciento respecto a 1994.
Postion	Tokenization
1	Después
2	aparecen
3	tres
4	países
5	asiáticos
6	,
7	destacando
8	Vietnam
9	,
10	cuyas
11	importaciones
12	hacia
13	nuestro
14	país
15	han
16	aumentado
17	en
18	un
19	5.498
20	por
21	ciento
22	respecto
23	a
24	1994
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Después	ADV	2	advmod
2	aparecen	VERB	0	root
3	tres	NUM	4	nummod
4	países	NOUN	2	nsubj
5	asiáticos	ADJ	4	amod
6	,	PUNCT	7	punct
7	destacando	VERB	4	acl
8	Vietnam	PROPN	7	obj
9	,	PUNCT	7	punct
10	cuyas	PRON	11	nmod
11	importaciones	NOUN	16	nsubj
12	hacia	ADP	14	case
13	nuestro	DET	14	det
14	país	NOUN	16	obl
15	han	AUX	16	aux
16	aumentado	VERB	4	acl
17	en	ADP	19	case
18	un	DET	19	det
19	5.498	NUM	16	obl
20	por	ADP	21	case
21	ciento	NUM	19	compound
22	respecto	NOUN	24	case
23	a	ADP	22	fixed
24	1994	NOUN	19	nmod
25	.	PUNCT	2	punct