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:
Aparcar pasará de 100 a 150 pesetas la hora si prospera la iniciativa del equipo de gobierno, que también prevé incrementar la tasa de retirada del vehículo en un 20%, con lo que grúa costará 12.000 pesetas (casi 2.000 más que en la actualidad).
Postion	Tokenization
1	Aparcar
2	pasará
3	de
4	100
5	a
6	150
7	pesetas
8	la
9	hora
10	si
11	prospera
12	la
13	iniciativa
14	del
15	equipo
16	de
17	gobierno
18	,
19	que
20	también
21	prevé
22	incrementar
23	la
24	tasa
25	de
26	retirada
27	del
28	vehículo
29	en
30	un
31	20%
32	,
33	con
34	lo
35	que
36	grúa
37	costará
38	12.000
39	pesetas
40	(
41	casi
42	2.000
43	más
44	que
45	en
46	la
47	actualidad
48	)
49	.
Position	Tokenization	UPOS	Head	Deprel
1	Aparcar	VERB	2	csubj
2	pasará	VERB	0	root
3	de	ADP	4	case
4	100	NUM	2	obl
5	a	ADP	7	case
6	150	NUM	7	nummod
7	pesetas	NOUN	2	obl
8	la	DET	9	det
9	hora	NOUN	7	appos
10	si	SCONJ	11	mark
11	prospera	VERB	2	advcl
12	la	DET	13	det
13	iniciativa	NOUN	11	nsubj
14	del	ADP	15	case
15	equipo	NOUN	13	nmod
16	de	ADP	17	case
17	gobierno	NOUN	15	nmod
18	,	PUNCT	21	punct
19	que	PRON	21	nsubj
20	también	ADV	21	advmod
21	prevé	VERB	13	acl
22	incrementar	VERB	21	xcomp
23	la	DET	24	det
24	tasa	NOUN	22	obj
25	de	ADP	26	case
26	retirada	NOUN	24	nmod
27	del	ADP	28	case
28	vehículo	NOUN	26	nmod
29	en	ADP	31	case
30	un	DET	31	det
31	20%	SYM	22	advmod
32	,	PUNCT	37	punct
33	con	ADP	37	mark
34	lo	PRON	37	det
35	que	PRON	37	obl
36	grúa	NOUN	37	nsubj
37	costará	VERB	21	advcl
38	12.000	NUM	39	nummod
39	pesetas	NOUN	37	obj
40	(	PUNCT	42	punct
41	casi	ADV	42	advmod
42	2.000	NUM	39	appos
43	más	ADV	42	advmod
44	que	SCONJ	47	mark
45	en	ADP	47	case
46	la	DET	47	det
47	actualidad	NOUN	42	obl
48	)	PUNCT	42	punct
49	.	PUNCT	2	punct