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 totales pasaron de los 12,3 millones de dólares en 1999 a los 14,8 millones en el presente año, lo que supone una subida del 20,47 por ciento.
Postion	Tokenization
1	Las
2	exportaciones
3	totales
4	pasaron
5	de
6	los
7	12,3
8	millones
9	de
10	dólares
11	en
12	1999
13	a
14	los
15	14,8
16	millones
17	en
18	el
19	presente
20	año
21	,
22	lo
23	que
24	supone
25	una
26	subida
27	del
28	20,47
29	por
30	ciento
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Las	DET	2	det
2	exportaciones	NOUN	4	nsubj
3	totales	ADJ	2	amod
4	pasaron	VERB	0	root
5	de	ADP	8	case
6	los	DET	7	det
7	12,3	NUM	8	nummod
8	millones	NOUN	4	obl
9	de	ADP	10	case
10	dólares	NOUN	8	nmod
11	en	ADP	12	case
12	1999	NOUN	8	nmod
13	a	ADP	16	case
14	los	DET	15	det
15	14,8	NUM	16	nummod
16	millones	NOUN	4	obl
17	en	ADP	20	case
18	el	DET	20	det
19	presente	ADJ	20	amod
20	año	NOUN	16	nmod
21	,	PUNCT	24	punct
22	lo	PRON	24	det
23	que	PRON	24	nsubj
24	supone	VERB	4	advcl
25	una	DET	26	det
26	subida	NOUN	24	obj
27	del	ADP	28	case
28	20,47	NUM	26	nummod
29	por	ADP	30	case
30	ciento	NUM	28	compound
31	.	PUNCT	4	punct