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 la práctica, el acuerdo supuso la ampliación de la flota pesquera, como demuestra el hecho de que en 1992 había 60 buques congeladores de todo tipo en el país y hoy hay 300, dijo hoy a EFE Juan Villalonga, de Greenpeace.
Postion	Tokenization
1	En
2	la
3	práctica
4	,
5	el
6	acuerdo
7	supuso
8	la
9	ampliación
10	de
11	la
12	flota
13	pesquera
14	,
15	como
16	demuestra
17	el
18	hecho
19	de
20	que
21	en
22	1992
23	había
24	60
25	buques
26	congeladores
27	de
28	todo
29	tipo
30	en
31	el
32	país
33	y
34	hoy
35	hay
36	300
37	,
38	dijo
39	hoy
40	a
41	EFE
42	Juan
43	Villalonga
44	,
45	de
46	Greenpeace
47	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	la	DET	3	det
3	práctica	NOUN	7	obl
4	,	PUNCT	3	punct
5	el	DET	6	det
6	acuerdo	NOUN	7	nsubj
7	supuso	VERB	38	ccomp
8	la	DET	9	det
9	ampliación	NOUN	7	obj
10	de	ADP	12	case
11	la	DET	12	det
12	flota	NOUN	9	nmod
13	pesquera	ADJ	12	amod
14	,	PUNCT	16	punct
15	como	SCONJ	16	mark
16	demuestra	VERB	7	advcl
17	el	DET	18	det
18	hecho	NOUN	16	nsubj
19	de	ADP	23	mark
20	que	SCONJ	23	mark
21	en	ADP	22	case
22	1992	NOUN	23	obl
23	había	AUX	18	acl
24	60	NUM	25	nummod
25	buques	NOUN	23	obj
26	congeladores	ADJ	25	amod
27	de	ADP	29	case
28	todo	DET	29	det
29	tipo	NOUN	25	nmod
30	en	ADP	32	case
31	el	DET	32	det
32	país	NOUN	23	obl
33	y	CCONJ	35	cc
34	hoy	ADV	35	advmod
35	hay	AUX	23	conj
36	300	NUM	35	obj
37	,	PUNCT	7	punct
38	dijo	VERB	0	root
39	hoy	ADV	38	advmod
40	a	ADP	41	case
41	EFE	PROPN	38	iobj
42	Juan	PROPN	38	nsubj
43	Villalonga	PROPN	42	flat
44	,	PUNCT	46	punct
45	de	ADP	46	case
46	Greenpeace	PROPN	42	nmod
47	.	PUNCT	38	punct