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:
Aznar asegura que todavía está en forma cuando en Málaga se ve obligado a hacer un giro de cintura para poder ver a todo el público que le rodea.
Postion	Tokenization
1	Aznar
2	asegura
3	que
4	todavía
5	está
6	en
7	forma
8	cuando
9	en
10	Málaga
11	se
12	ve
13	obligado
14	a
15	hacer
16	un
17	giro
18	de
19	cintura
20	para
21	poder
22	ver
23	a
24	todo
25	el
26	público
27	que
28	le
29	rodea
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Aznar	PROPN	2	nsubj
2	asegura	VERB	0	root
3	que	SCONJ	7	mark
4	todavía	ADV	7	advmod
5	está	AUX	7	cop
6	en	ADP	7	case
7	forma	NOUN	2	ccomp
8	cuando	SCONJ	12	mark
9	en	ADP	10	case
10	Málaga	PROPN	12	obl
11	se	PRON	12	expl:pv
12	ve	VERB	2	advcl
13	obligado	ADJ	12	obj
14	a	ADP	15	mark
15	hacer	VERB	13	xcomp
16	un	DET	17	det
17	giro	NOUN	15	obj
18	de	ADP	19	case
19	cintura	NOUN	17	nmod
20	para	ADP	22	mark
21	poder	AUX	22	aux
22	ver	VERB	12	advcl
23	a	ADP	26	case
24	todo	DET	25	det
25	el	DET	26	det
26	público	NOUN	22	obj
27	que	PRON	29	nsubj
28	le	PRON	29	obj
29	rodea	VERB	26	acl
30	.	PUNCT	2	punct