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:
El precio máximo del litro de gasóleo de uso automovilístico ha subido en lo que va de año un 21,7 por ciento, mientras que el de la gasolina sin plomo de 95 octanos lo ha hecho en un 16 por ciento y el de la súper tradicional en un 20 por ciento, según datos elaborados por EFE.
Postion	Tokenization
1	El
2	precio
3	máximo
4	del
5	litro
6	de
7	gasóleo
8	de
9	uso
10	automovilístico
11	ha
12	subido
13	en
14	lo
15	que
16	va
17	de
18	año
19	un
20	21,7
21	por
22	ciento
23	,
24	mientras
25	que
26	el
27	de
28	la
29	gasolina
30	sin
31	plomo
32	de
33	95
34	octanos
35	lo
36	ha
37	hecho
38	en
39	un
40	16
41	por
42	ciento
43	y
44	el
45	de
46	la
47	súper
48	tradicional
49	en
50	un
51	20
52	por
53	ciento
54	,
55	según
56	datos
57	elaborados
58	por
59	EFE
60	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	precio	NOUN	12	nsubj
3	máximo	ADJ	2	amod
4	del	ADP	5	case
5	litro	NOUN	2	nmod
6	de	ADP	7	case
7	gasóleo	NOUN	5	nmod
8	de	ADP	9	case
9	uso	NOUN	7	nmod
10	automovilístico	ADJ	9	amod
11	ha	AUX	12	aux
12	subido	VERB	24	parataxis
13	en	ADP	16	mark
14	lo	PRON	16	det
15	que	PRON	16	nsubj
16	va	VERB	12	advcl
17	de	ADP	18	case
18	año	NOUN	16	obl
19	un	DET	20	det
20	21,7	NUM	12	obj
21	por	ADP	22	case
22	ciento	NUM	20	compound
23	,	PUNCT	24	punct
24	mientras	CCONJ	0	root
25	que	SCONJ	24	fixed
26	el	DET	37	det
27	de	ADP	26	case
28	la	DET	29	det
29	gasolina	NOUN	26	nsubj
30	sin	ADP	31	case
31	plomo	NOUN	29	nmod
32	de	ADP	34	case
33	95	NUM	34	nummod
34	octanos	NOUN	31	nmod
35	lo	PRON	37	obj
36	ha	AUX	37	aux
37	hecho	VERB	24	parataxis
38	en	ADP	40	case
39	un	DET	40	det
40	16	NUM	37	obl
41	por	ADP	42	case
42	ciento	NUM	40	compound
43	y	CCONJ	44	cc
44	el	DET	37	conj
45	de	ADP	44	case
46	la	DET	48	det
47	súper	ADJ	48	amod
48	tradicional	ADJ	44	parataxis
49	en	ADP	51	case
50	un	DET	51	det
51	20	NUM	44	nummod
52	por	ADP	53	case
53	ciento	NUM	51	compound
54	,	PUNCT	56	punct
55	según	ADP	56	case
56	datos	NOUN	24	obl
57	elaborados	ADJ	56	amod
58	por	ADP	59	case
59	EFE	PROPN	57	obj
60	.	PUNCT	24	punct