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:
Las movilizaciones por la subida del precio del gasóleo y la negativa del Gobierno de Aznar a rebajar los impuestos que gravan los carburantes pese al incremento del precio del petróleo no amainan, sino que aumentan.
Postion	Tokenization
1	Las
2	movilizaciones
3	por
4	la
5	subida
6	del
7	precio
8	del
9	gasóleo
10	y
11	la
12	negativa
13	del
14	Gobierno
15	de
16	Aznar
17	a
18	rebajar
19	los
20	impuestos
21	que
22	gravan
23	los
24	carburantes
25	pese
26	al
27	incremento
28	del
29	precio
30	del
31	petróleo
32	no
33	amainan
34	,
35	sino
36	que
37	aumentan
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Las	DET	2	det
2	movilizaciones	NOUN	33	nsubj
3	por	ADP	5	case
4	la	DET	5	det
5	subida	NOUN	2	nmod
6	del	ADP	7	case
7	precio	NOUN	5	nmod
8	del	ADP	9	case
9	gasóleo	NOUN	7	nmod
10	y	CCONJ	12	cc
11	la	DET	12	det
12	negativa	NOUN	5	conj
13	del	ADP	14	case
14	Gobierno	PROPN	12	nmod
15	de	ADP	16	case
16	Aznar	PROPN	14	nmod
17	a	ADP	18	mark
18	rebajar	VERB	12	acl
19	los	DET	20	det
20	impuestos	NOUN	18	obj
21	que	PRON	22	nsubj
22	gravan	VERB	20	acl
23	los	DET	24	det
24	carburantes	NOUN	22	obj
25	pese	NOUN	27	case
26	al	ADP	25	fixed
27	incremento	NOUN	22	obl
28	del	ADP	29	case
29	precio	NOUN	27	nmod
30	del	ADP	31	case
31	petróleo	NOUN	29	nmod
32	no	ADV	33	advmod
33	amainan	VERB	35	parataxis
34	,	PUNCT	35	punct
35	sino	CCONJ	0	root
36	que	SCONJ	35	fixed
37	aumentan	VERB	35	parataxis
38	.	PUNCT	35	punct