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:
"España está mejor que hace cuatro años, es innegable" y, por eso, concluyó Aznar, el PP ofrece, "con seguridad y progreso", una próxima legislatura "del empleo, la educación y la innovación" para que "nuestro país dé un salto fundamental".
Postion	Tokenization
1	"
2	España
3	está
4	mejor
5	que
6	hace
7	cuatro
8	años
9	,
10	es
11	innegable
12	"
13	y
14	,
15	por
16	eso
17	,
18	concluyó
19	Aznar
20	,
21	el
22	PP
23	ofrece
24	,
25	"
26	con
27	seguridad
28	y
29	progreso
30	"
31	,
32	una
33	próxima
34	legislatura
35	"
36	del
37	empleo
38	,
39	la
40	educación
41	y
42	la
43	innovación
44	"
45	para
46	que
47	"
48	nuestro
49	país
50	dé
51	un
52	salto
53	fundamental
54	"
55	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	4	punct
2	España	PROPN	4	nsubj
3	está	AUX	4	cop
4	mejor	ADJ	0	root
5	que	SCONJ	6	mark
6	hace	VERB	4	advcl
7	cuatro	NUM	8	nummod
8	años	NOUN	6	obj
9	,	PUNCT	11	punct
10	es	AUX	11	cop
11	innegable	ADJ	4	parataxis
12	"	PUNCT	11	punct
13	y	CCONJ	23	cc
14	,	PUNCT	16	punct
15	por	ADP	16	case
16	eso	PRON	23	obl
17	,	PUNCT	18	punct
18	concluyó	VERB	23	parataxis
19	Aznar	PROPN	18	nsubj
20	,	PUNCT	18	punct
21	el	DET	22	det
22	PP	PROPN	23	nsubj
23	ofrece	VERB	4	conj
24	,	PUNCT	27	punct
25	"	PUNCT	27	punct
26	con	ADP	27	case
27	seguridad	NOUN	23	obl
28	y	CCONJ	29	cc
29	progreso	NOUN	27	conj
30	"	PUNCT	27	punct
31	,	PUNCT	27	punct
32	una	DET	34	det
33	próxima	ADJ	34	amod
34	legislatura	NOUN	23	obj
35	"	PUNCT	37	punct
36	del	ADP	37	case
37	empleo	NOUN	34	nmod
38	,	PUNCT	40	punct
39	la	DET	40	det
40	educación	NOUN	37	appos
41	y	CCONJ	43	cc
42	la	DET	43	det
43	innovación	NOUN	37	conj
44	"	PUNCT	37	punct
45	para	ADP	50	mark
46	que	SCONJ	50	mark
47	"	PUNCT	50	punct
48	nuestro	DET	49	det
49	país	NOUN	50	nsubj
50	dé	VERB	23	advcl
51	un	DET	52	det
52	salto	NOUN	50	obj
53	fundamental	ADJ	52	amod
54	"	PUNCT	50	punct
55	.	PUNCT	4	punct