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:
Los aficionados a los deportes activos también tienen su espacio en el Salón Internacional de Turismo de Cataluña, un área de 3.000 metros cuadrados donde los visitantes podrán practicar piragüismo, lanzarse al vacío desde 25 metros, probar quads o conducir 4X4.
Postion	Tokenization
1	Los
2	aficionados
3	a
4	los
5	deportes
6	activos
7	también
8	tienen
9	su
10	espacio
11	en
12	el
13	Salón
14	Internacional
15	de
16	Turismo
17	de
18	Cataluña
19	,
20	un
21	área
22	de
23	3.000
24	metros
25	cuadrados
26	donde
27	los
28	visitantes
29	podrán
30	practicar
31	piragüismo
32	,
33	lanzarse
34	lanzar
35	se
36	al
37	vacío
38	desde
39	25
40	metros
41	,
42	probar
43	quads
44	o
45	conducir
46	4X4
47	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	aficionados	NOUN	8	nsubj
3	a	ADP	5	case
4	los	DET	5	det
5	deportes	NOUN	2	nmod
6	activos	ADJ	5	amod
7	también	ADV	8	advmod
8	tienen	VERB	0	root
9	su	DET	10	det
10	espacio	NOUN	8	obj
11	en	ADP	13	case
12	el	DET	13	det
13	Salón	PROPN	8	obl
14	Internacional	PROPN	13	flat
15	de	ADP	16	case
16	Turismo	PROPN	13	flat
17	de	ADP	18	case
18	Cataluña	PROPN	13	flat
19	,	PUNCT	21	punct
20	un	DET	21	det
21	área	NOUN	8	obj
22	de	ADP	24	case
23	3.000	NUM	24	nummod
24	metros	NOUN	21	nmod
25	cuadrados	ADJ	24	amod
26	donde	PRON	30	obl
27	los	DET	28	det
28	visitantes	NOUN	30	nsubj
29	podrán	AUX	30	aux
30	practicar	VERB	21	acl
31	piragüismo	NOUN	30	obj
32	,	PUNCT	33	punct
33	lanzarse	_	None	_
34	lanzar	VERB	30	advcl
35	se	PRON	33	obj
36	al	ADP	36	case
37	vacío	NOUN	33	obj
38	desde	ADP	39	case
39	25	NUM	39	nummod
40	metros	NOUN	33	obl
41	,	PUNCT	41	punct
42	probar	VERB	30	advcl
43	quads	NOUN	41	obj
44	o	CCONJ	44	cc
45	conducir	VERB	30	conj
46	4X4	NOUN	44	obj
47	.	PUNCT	8	punct