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:
Las exportaciones de vinos chilenos registraron un aumento del 23,3 por ciento en abril pasado en comparación con el mismo mes de 1999, hasta los 164,4 millones de dólares, informaron hoy fuentes del sector.
Postion	Tokenization
1	Las
2	exportaciones
3	de
4	vinos
5	chilenos
6	registraron
7	un
8	aumento
9	del
10	23,3
11	por
12	ciento
13	en
14	abril
15	pasado
16	en
17	comparación
18	con
19	el
20	mismo
21	mes
22	de
23	1999
24	,
25	hasta
26	los
27	164,4
28	millones
29	de
30	dólares
31	,
32	informaron
33	hoy
34	fuentes
35	del
36	sector
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Las	DET	2	det
2	exportaciones	NOUN	6	nsubj
3	de	ADP	4	case
4	vinos	NOUN	2	nmod
5	chilenos	ADJ	4	amod
6	registraron	VERB	32	ccomp
7	un	DET	8	det
8	aumento	NOUN	6	obj
9	del	ADP	10	case
10	23,3	NUM	8	nummod
11	por	ADP	12	case
12	ciento	NUM	10	compound
13	en	ADP	14	case
14	abril	NOUN	6	obl
15	pasado	NOUN	14	compound
16	en	ADP	17	case
17	comparación	NOUN	6	obl
18	con	ADP	21	case
19	el	DET	21	det
20	mismo	DET	19	det
21	mes	NOUN	17	nmod
22	de	ADP	23	case
23	1999	NOUN	21	nmod
24	,	PUNCT	28	punct
25	hasta	ADP	28	case
26	los	DET	27	det
27	164,4	NUM	28	nummod
28	millones	NOUN	6	obl
29	de	ADP	30	case
30	dólares	NOUN	28	nmod
31	,	PUNCT	28	punct
32	informaron	VERB	0	root
33	hoy	ADV	32	advmod
34	fuentes	NOUN	32	nsubj
35	del	ADP	36	case
36	sector	NOUN	34	nmod
37	.	PUNCT	32	punct