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 una breve alocución antes de comenzar el almuerzo, la esposa de José María Aznar aseguró que "entre todos vamos a impulsar, alentar y convertir España en uno de los mejores países del mundo.
Postion	Tokenization
1	En
2	una
3	breve
4	alocución
5	antes
6	de
7	comenzar
8	el
9	almuerzo
10	,
11	la
12	esposa
13	de
14	José
15	María
16	Aznar
17	aseguró
18	que
19	"
20	entre
21	todos
22	vamos
23	a
24	impulsar
25	,
26	alentar
27	y
28	convertir
29	España
30	en
31	uno
32	de
33	los
34	mejores
35	países
36	del
37	mundo
38	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	4	case
2	una	DET	4	det
3	breve	ADJ	4	amod
4	alocución	NOUN	17	obl
5	antes	ADV	17	advmod
6	de	ADP	7	mark
7	comenzar	VERB	5	advcl
8	el	DET	9	det
9	almuerzo	NOUN	7	obj
10	,	PUNCT	5	punct
11	la	DET	12	det
12	esposa	NOUN	17	nsubj
13	de	ADP	14	case
14	José	PROPN	12	nmod
15	María	PROPN	14	flat
16	Aznar	PROPN	14	flat
17	aseguró	VERB	0	root
18	que	SCONJ	24	mark
19	"	PUNCT	24	punct
20	entre	ADP	21	case
21	todos	PRON	24	obl
22	vamos	AUX	24	aux
23	a	ADP	24	mark
24	impulsar	VERB	17	xcomp
25	,	PUNCT	26	punct
26	alentar	VERB	24	advcl
27	y	CCONJ	28	cc
28	convertir	VERB	24	conj
29	España	PROPN	28	obj
30	en	ADP	31	case
31	uno	PRON	28	obl
32	de	ADP	35	case
33	los	DET	35	det
34	mejores	ADJ	35	amod
35	países	NOUN	31	nmod
36	del	ADP	37	case
37	mundo	NOUN	35	nmod
38	.	PUNCT	17	punct