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:
Según Aznar, la Corona puede "garantizar y expresar" que España pueda tener "más ambiciones, propósitos y objetivos", lo que, para el presidente, "es una gran posibilidad para España".
Postion	Tokenization
1	Según
2	Aznar
3	,
4	la
5	Corona
6	puede
7	"
8	garantizar
9	y
10	expresar
11	"
12	que
13	España
14	pueda
15	tener
16	"
17	más
18	ambiciones
19	,
20	propósitos
21	y
22	objetivos
23	"
24	,
25	lo
26	que
27	,
28	para
29	el
30	presidente
31	,
32	"
33	es
34	una
35	gran
36	posibilidad
37	para
38	España
39	"
40	.
Position	Tokenization	UPOS	Head	Deprel
1	Según	ADP	2	case
2	Aznar	PROPN	8	obl
3	,	PUNCT	2	punct
4	la	DET	5	det
5	Corona	PROPN	8	nsubj
6	puede	AUX	8	aux
7	"	PUNCT	8	punct
8	garantizar	VERB	0	root
9	y	CCONJ	10	cc
10	expresar	VERB	8	conj
11	"	PUNCT	8	punct
12	que	SCONJ	15	mark
13	España	PROPN	15	nsubj
14	pueda	AUX	15	aux
15	tener	VERB	8	xcomp
16	"	PUNCT	18	punct
17	más	ADV	18	advmod
18	ambiciones	NOUN	15	obj
19	,	PUNCT	20	punct
20	propósitos	NOUN	18	conj
21	y	CCONJ	22	cc
22	objetivos	NOUN	18	conj
23	"	PUNCT	18	punct
24	,	PUNCT	36	punct
25	lo	PRON	36	det
26	que	PRON	36	nsubj
27	,	PUNCT	30	punct
28	para	ADP	30	case
29	el	DET	30	det
30	presidente	NOUN	36	obl
31	,	PUNCT	30	punct
32	"	PUNCT	36	punct
33	es	AUX	36	cop
34	una	DET	36	det
35	gran	ADJ	36	amod
36	posibilidad	NOUN	8	advcl
37	para	ADP	38	case
38	España	PROPN	36	nmod
39	"	PUNCT	36	punct
40	.	PUNCT	8	punct