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:
El SITC, que celebra ahora su novena edición, ha aumentado durante los últimos años un 20% su superficie de exposición para llegar a la actual edición con más de 42.000 metros cuadrados.
Postion	Tokenization
1	El
2	SITC
3	,
4	que
5	celebra
6	ahora
7	su
8	novena
9	edición
10	,
11	ha
12	aumentado
13	durante
14	los
15	últimos
16	años
17	un
18	20%
19	su
20	superficie
21	de
22	exposición
23	para
24	llegar
25	a
26	la
27	actual
28	edición
29	con
30	más
31	de
32	42.000
33	metros
34	cuadrados
35	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	SITC	PROPN	12	nsubj
3	,	PUNCT	5	punct
4	que	PRON	5	nsubj
5	celebra	VERB	2	acl
6	ahora	ADV	5	advmod
7	su	DET	9	det
8	novena	ADJ	9	amod
9	edición	NOUN	5	obj
10	,	PUNCT	5	punct
11	ha	AUX	12	aux
12	aumentado	VERB	0	root
13	durante	ADP	16	case
14	los	DET	16	det
15	últimos	ADJ	16	amod
16	años	NOUN	12	obl
17	un	DET	18	det
18	20%	SYM	12	obj
19	su	DET	20	det
20	superficie	NOUN	12	obj
21	de	ADP	22	case
22	exposición	NOUN	20	nmod
23	para	ADP	24	mark
24	llegar	VERB	12	advcl
25	a	ADP	28	case
26	la	DET	28	det
27	actual	ADJ	28	amod
28	edición	NOUN	24	obl
29	con	ADP	33	case
30	más	ADV	33	advmod
31	de	ADP	30	case
32	42.000	NUM	30	nummod
33	metros	NOUN	24	obl
34	cuadrados	ADJ	33	amod
35	.	PUNCT	12	punct