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:
En cuanto a los países destino de las exportaciones españolas del sector del deporte, el principal cliente es Francia, que absorbe el 18 por ciento del total de las exportaciones.
Postion	Tokenization
1	En
2	cuanto
3	a
4	los
5	países
6	destino
7	de
8	las
9	exportaciones
10	españolas
11	del
12	sector
13	del
14	deporte
15	,
16	el
17	principal
18	cliente
19	es
20	Francia
21	,
22	que
23	absorbe
24	el
25	18
26	por
27	ciento
28	del
29	total
30	de
31	las
32	exportaciones
33	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	5	case
2	cuanto	NOUN	1	fixed
3	a	ADP	1	fixed
4	los	DET	5	det
5	países	NOUN	20	obl
6	destino	NOUN	5	appos
7	de	ADP	9	case
8	las	DET	9	det
9	exportaciones	NOUN	6	nmod
10	españolas	ADJ	9	amod
11	del	ADP	12	case
12	sector	NOUN	9	nmod
13	del	ADP	14	case
14	deporte	NOUN	12	nmod
15	,	PUNCT	5	punct
16	el	DET	18	det
17	principal	ADJ	18	amod
18	cliente	NOUN	20	nsubj
19	es	AUX	20	cop
20	Francia	PROPN	0	root
21	,	PUNCT	23	punct
22	que	PRON	23	nsubj
23	absorbe	VERB	20	acl
24	el	DET	25	det
25	18	NUM	23	obj
26	por	ADP	27	case
27	ciento	NUM	25	compound
28	del	ADP	29	case
29	total	NOUN	25	nmod
30	de	ADP	32	case
31	las	DET	32	det
32	exportaciones	NOUN	29	nmod
33	.	PUNCT	20	punct