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:
Asimismo destacaron la subida de las exportaciones a América del Norte, que suponen un 30 por ciento, en tanto que las destinadas a América del Sur representaron un 20, con un importante alza de las exportaciones a Brasil, que aumentaron un 180 por ciento.
Postion	Tokenization
1	Asimismo
2	destacaron
3	la
4	subida
5	de
6	las
7	exportaciones
8	a
9	América
10	del
11	Norte
12	,
13	que
14	suponen
15	un
16	30
17	por
18	ciento
19	,
20	en
21	tanto
22	que
23	las
24	destinadas
25	a
26	América
27	del
28	Sur
29	representaron
30	un
31	20
32	,
33	con
34	un
35	importante
36	alza
37	de
38	las
39	exportaciones
40	a
41	Brasil
42	,
43	que
44	aumentaron
45	un
46	180
47	por
48	ciento
49	.
Position	Tokenization	UPOS	Head	Deprel
1	Asimismo	ADV	2	advmod
2	destacaron	VERB	0	root
3	la	DET	4	det
4	subida	NOUN	2	obj
5	de	ADP	7	case
6	las	DET	7	det
7	exportaciones	NOUN	4	nmod
8	a	ADP	9	case
9	América	PROPN	7	nmod
10	del	ADP	11	case
11	Norte	PROPN	9	flat
12	,	PUNCT	14	punct
13	que	PRON	14	nsubj
14	suponen	VERB	7	acl
15	un	DET	16	det
16	30	NUM	14	obj
17	por	ADP	18	case
18	ciento	NUM	16	compound
19	,	PUNCT	29	punct
20	en	ADP	29	mark
21	tanto	NOUN	20	fixed
22	que	SCONJ	20	fixed
23	las	DET	24	det
24	destinadas	ADJ	29	nsubj
25	a	ADP	26	case
26	América	PROPN	24	obj
27	del	ADP	28	case
28	Sur	PROPN	26	flat
29	representaron	VERB	14	advcl
30	un	DET	31	det
31	20	NUM	29	obj
32	,	PUNCT	36	punct
33	con	ADP	36	case
34	un	DET	36	det
35	importante	ADJ	36	amod
36	alza	NOUN	29	obl
37	de	ADP	39	case
38	las	DET	39	det
39	exportaciones	NOUN	36	nmod
40	a	ADP	41	case
41	Brasil	PROPN	39	nmod
42	,	PUNCT	44	punct
43	que	PRON	44	nsubj
44	aumentaron	VERB	39	acl
45	un	DET	46	det
46	180	NUM	44	obj
47	por	ADP	48	case
48	ciento	NUM	46	compound
49	.	PUNCT	2	punct