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:
Repsol YPF, principal petrolera que opera en España con una cuota de mercado del 45 por ciento, aplicó, a las 0:00 horas de hoy, una subida de 4 pesetas en todos sus carburantes que ha situado el precio máximo de su gasóleo de automoción en las 128,9 pesetas, el de la eurosúper en las 144,9 pesetas y el de la gasolina súper en las 154,9 pesetas.
Postion	Tokenization
1	Repsol
2	YPF
3	,
4	principal
5	petrolera
6	que
7	opera
8	en
9	España
10	con
11	una
12	cuota
13	de
14	mercado
15	del
16	45
17	por
18	ciento
19	,
20	aplicó
21	,
22	a
23	las
24	0:00
25	horas
26	de
27	hoy
28	,
29	una
30	subida
31	de
32	4
33	pesetas
34	en
35	todos
36	sus
37	carburantes
38	que
39	ha
40	situado
41	el
42	precio
43	máximo
44	de
45	su
46	gasóleo
47	de
48	automoción
49	en
50	las
51	128,9
52	pesetas
53	,
54	el
55	de
56	la
57	eurosúper
58	en
59	las
60	144,9
61	pesetas
62	y
63	el
64	de
65	la
66	gasolina
67	súper
68	en
69	las
70	154,9
71	pesetas
72	.
Position	Tokenization	UPOS	Head	Deprel
1	Repsol	PROPN	20	nsubj
2	YPF	PROPN	1	flat
3	,	PUNCT	7	punct
4	principal	ADJ	5	amod
5	petrolera	ADJ	7	amod
6	que	PRON	7	nsubj
7	opera	VERB	1	appos
8	en	ADP	9	case
9	España	PROPN	7	obl
10	con	ADP	12	case
11	una	DET	12	det
12	cuota	NOUN	7	obl
13	de	ADP	14	case
14	mercado	NOUN	12	nmod
15	del	ADP	16	case
16	45	NUM	12	nummod
17	por	ADP	18	case
18	ciento	NUM	16	compound
19	,	PUNCT	7	punct
20	aplicó	VERB	0	root
21	,	PUNCT	25	punct
22	a	ADP	25	case
23	las	DET	24	det
24	0:00	NUM	25	nummod
25	horas	NOUN	20	obl
26	de	ADP	27	case
27	hoy	ADV	25	advmod
28	,	PUNCT	25	punct
29	una	DET	30	det
30	subida	NOUN	20	obj
31	de	ADP	33	case
32	4	NUM	33	nummod
33	pesetas	NOUN	30	nmod
34	en	ADP	37	case
35	todos	DET	36	det
36	sus	DET	37	det
37	carburantes	NOUN	30	nmod
38	que	PRON	40	nsubj
39	ha	AUX	40	aux
40	situado	VERB	30	acl
41	el	DET	42	det
42	precio	NOUN	40	obj
43	máximo	ADJ	42	amod
44	de	ADP	46	case
45	su	DET	46	det
46	gasóleo	NOUN	42	nmod
47	de	ADP	48	case
48	automoción	NOUN	46	nmod
49	en	ADP	52	case
50	las	DET	51	det
51	128,9	NUM	52	nummod
52	pesetas	NOUN	40	obj
53	,	PUNCT	54	punct
54	el	DET	40	det
55	de	ADP	54	case
56	la	DET	57	det
57	eurosúper	NOUN	54	obl
58	en	ADP	61	case
59	las	DET	60	det
60	144,9	NUM	61	nummod
61	pesetas	NOUN	54	nmod
62	y	CCONJ	63	cc
63	el	DET	40	conj
64	de	ADP	63	case
65	la	DET	66	det
66	gasolina	NOUN	63	nmod
67	súper	ADJ	66	amod
68	en	ADP	71	case
69	las	DET	70	det
70	154,9	NUM	71	nummod
71	pesetas	NOUN	63	nmod
72	.	PUNCT	20	punct