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 presidente del Gobierno, José María Aznar, se mostró ayer contrario a una rebaja del impuesto especial sobre hidrocarburos para compensar la subida del precio del petróleo y de los carburantes.
Postion	Tokenization
1	El
2	presidente
3	del
4	Gobierno
5	,
6	José
7	María
8	Aznar
9	,
10	se
11	mostró
12	ayer
13	contrario
14	a
15	una
16	rebaja
17	del
18	impuesto
19	especial
20	sobre
21	hidrocarburos
22	para
23	compensar
24	la
25	subida
26	del
27	precio
28	del
29	petróleo
30	y
31	de
32	los
33	carburantes
34	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	presidente	NOUN	11	nsubj
3	del	ADP	4	case
4	Gobierno	PROPN	2	nmod
5	,	PUNCT	6	punct
6	José	PROPN	2	appos
7	María	PROPN	6	flat
8	Aznar	PROPN	6	flat
9	,	PUNCT	6	punct
10	se	PRON	11	expl:pv
11	mostró	VERB	0	root
12	ayer	ADV	11	advmod
13	contrario	ADJ	11	obj
14	a	ADP	16	case
15	una	DET	16	det
16	rebaja	NOUN	13	nmod
17	del	ADP	18	case
18	impuesto	NOUN	16	nmod
19	especial	ADJ	18	amod
20	sobre	ADP	21	case
21	hidrocarburos	NOUN	18	nmod
22	para	ADP	23	mark
23	compensar	VERB	16	acl
24	la	DET	25	det
25	subida	NOUN	23	obj
26	del	ADP	27	case
27	precio	NOUN	25	nmod
28	del	ADP	29	case
29	petróleo	NOUN	27	nmod
30	y	CCONJ	33	cc
31	de	ADP	33	case
32	los	DET	33	det
33	carburantes	NOUN	29	conj
34	.	PUNCT	11	punct