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:
Entre los principales países origen de las importaciones destaca China, que presenta la ventaja competitiva de los bajos precios y, por tanto, de donde proceden los productos más baratos.
Postion	Tokenization
1	Entre
2	los
3	principales
4	países
5	origen
6	de
7	las
8	importaciones
9	destaca
10	China
11	,
12	que
13	presenta
14	la
15	ventaja
16	competitiva
17	de
18	los
19	bajos
20	precios
21	y
22	,
23	por
24	tanto
25	,
26	de
27	donde
28	proceden
29	los
30	productos
31	más
32	baratos
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Entre	ADP	4	case
2	los	DET	4	det
3	principales	ADJ	4	amod
4	países	NOUN	9	obl
5	origen	NOUN	4	appos
6	de	ADP	8	case
7	las	DET	8	det
8	importaciones	NOUN	5	nmod
9	destaca	VERB	0	root
10	China	PROPN	9	nsubj
11	,	PUNCT	13	punct
12	que	PRON	13	nsubj
13	presenta	VERB	10	acl
14	la	DET	15	det
15	ventaja	NOUN	13	obj
16	competitiva	ADJ	15	amod
17	de	ADP	20	case
18	los	DET	20	det
19	bajos	ADJ	20	amod
20	precios	NOUN	15	nmod
21	y	CCONJ	28	cc
22	,	PUNCT	23	punct
23	por	ADP	28	advmod
24	tanto	NOUN	23	fixed
25	,	PUNCT	23	punct
26	de	ADP	27	case
27	donde	PRON	28	obj
28	proceden	VERB	13	conj
29	los	DET	30	det
30	productos	NOUN	28	nsubj
31	más	ADV	32	advmod
32	baratos	ADJ	30	amod
33	.	PUNCT	9	punct