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:
En el PP se da por hecho que, de ser reelegido, José María Aznar, nombrará al menos cuatro, quizá más.
Postion	Tokenization
1	En
2	el
3	PP
4	se
5	da
6	por
7	hecho
8	que
9	,
10	de
11	ser
12	reelegido
13	,
14	José
15	María
16	Aznar
17	,
18	nombrará
19	al
20	menos
21	cuatro
22	,
23	quizá
24	más
25	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	el	DET	3	det
3	PP	PROPN	5	obl
4	se	PRON	5	expl:pass
5	da	VERB	0	root
6	por	ADP	7	case
7	hecho	ADJ	5	obl
8	que	SCONJ	18	mark
9	,	PUNCT	12	punct
10	de	ADP	12	mark
11	ser	AUX	12	aux
12	reelegido	VERB	14	acl
13	,	PUNCT	12	punct
14	José	PROPN	18	nsubj
15	María	PROPN	14	flat
16	Aznar	PROPN	14	flat
17	,	PUNCT	14	punct
18	nombrará	VERB	5	csubj
19	al	ADP	21	advmod
20	menos	ADV	19	fixed
21	cuatro	NUM	18	obj
22	,	PUNCT	18	punct
23	quizá	ADV	18	advmod
24	más	ADV	23	advmod
25	.	PUNCT	5	punct