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:
Los vehículos importados, con valores entre los 7.000 y los 20.000 dólares, pagarán un 25 por ciento de impuestos, tasa que aumentará al 50 por ciento cuando el precio en origen supere los 20.000 dólares.
Postion	Tokenization
1	Los
2	vehículos
3	importados
4	,
5	con
6	valores
7	entre
8	los
9	7.000
10	y
11	los
12	20.000
13	dólares
14	,
15	pagarán
16	un
17	25
18	por
19	ciento
20	de
21	impuestos
22	,
23	tasa
24	que
25	aumentará
26	al
27	50
28	por
29	ciento
30	cuando
31	el
32	precio
33	en
34	origen
35	supere
36	los
37	20.000
38	dólares
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	vehículos	NOUN	15	nsubj
3	importados	ADJ	2	amod
4	,	PUNCT	6	punct
5	con	ADP	6	case
6	valores	NOUN	2	nmod
7	entre	ADP	9	case
8	los	DET	9	det
9	7.000	NUM	6	nummod
10	y	CCONJ	13	cc
11	los	DET	12	det
12	20.000	NUM	13	nummod
13	dólares	NOUN	9	conj
14	,	PUNCT	6	punct
15	pagarán	VERB	0	root
16	un	DET	17	det
17	25	NUM	15	obj
18	por	ADP	19	case
19	ciento	NUM	17	compound
20	de	ADP	21	case
21	impuestos	NOUN	17	nmod
22	,	PUNCT	23	punct
23	tasa	NOUN	17	appos
24	que	PRON	25	nsubj
25	aumentará	VERB	23	acl
26	al	ADP	27	case
27	50	NUM	25	obl
28	por	ADP	29	case
29	ciento	NUM	27	compound
30	cuando	SCONJ	35	mark
31	el	DET	32	det
32	precio	NOUN	35	nsubj
33	en	ADP	34	case
34	origen	NOUN	32	nmod
35	supere	VERB	25	advcl
36	los	DET	37	det
37	20.000	NUM	38	nummod
38	dólares	NOUN	35	obj
39	.	PUNCT	15	punct