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:
Vicente Martínez Pujalte, del PP, dijo que una rebaja de impuestos podría tener efectos negativos si las petroleras la aprovechan para subir sus beneficios.
Postion	Tokenization
1	Vicente
2	Martínez
3	Pujalte
4	,
5	del
6	PP
7	,
8	dijo
9	que
10	una
11	rebaja
12	de
13	impuestos
14	podría
15	tener
16	efectos
17	negativos
18	si
19	las
20	petroleras
21	la
22	aprovechan
23	para
24	subir
25	sus
26	beneficios
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Vicente	PROPN	8	nsubj
2	Martínez	PROPN	1	flat
3	Pujalte	PROPN	1	flat
4	,	PUNCT	6	punct
5	del	ADP	6	case
6	PP	PROPN	1	nmod
7	,	PUNCT	6	punct
8	dijo	VERB	0	root
9	que	SCONJ	15	mark
10	una	DET	11	det
11	rebaja	NOUN	15	nsubj
12	de	ADP	13	case
13	impuestos	NOUN	11	nmod
14	podría	AUX	15	aux
15	tener	VERB	8	xcomp
16	efectos	NOUN	15	obj
17	negativos	ADJ	16	amod
18	si	SCONJ	22	mark
19	las	DET	20	det
20	petroleras	ADJ	22	nsubj
21	la	PRON	22	obj
22	aprovechan	VERB	15	advcl
23	para	ADP	24	mark
24	subir	VERB	22	advcl
25	sus	DET	26	det
26	beneficios	NOUN	24	obj
27	.	PUNCT	8	punct