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:
La zona geográfica en la que se ha creado un mayor número de nuevas empresas ha sido la formada por las Comunidades de Cataluña, Aragón y Baleares, donde operan 365, lo cual representa el 47,3 por ciento del total del sector.
Postion	Tokenization
1	La
2	zona
3	geográfica
4	en
5	la
6	que
7	se
8	ha
9	creado
10	un
11	mayor
12	número
13	de
14	nuevas
15	empresas
16	ha
17	sido
18	la
19	formada
20	por
21	las
22	Comunidades
23	de
24	Cataluña
25	,
26	Aragón
27	y
28	Baleares
29	,
30	donde
31	operan
32	365
33	,
34	lo
35	cual
36	representa
37	el
38	47,3
39	por
40	ciento
41	del
42	total
43	del
44	sector
45	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	zona	NOUN	19	nsubj
3	geográfica	ADJ	2	amod
4	en	ADP	6	case
5	la	DET	6	det
6	que	PRON	9	obl
7	se	PRON	9	expl:pass
8	ha	AUX	9	aux
9	creado	VERB	2	acl
10	un	DET	12	det
11	mayor	ADJ	12	amod
12	número	NOUN	9	nsubj
13	de	ADP	15	case
14	nuevas	ADJ	15	amod
15	empresas	NOUN	12	nmod
16	ha	AUX	19	aux
17	sido	AUX	19	cop
18	la	DET	19	det
19	formada	ADJ	0	root
20	por	ADP	22	case
21	las	DET	22	det
22	Comunidades	PROPN	19	obj
23	de	ADP	24	case
24	Cataluña	PROPN	22	nmod
25	,	PUNCT	26	punct
26	Aragón	PROPN	24	conj
27	y	CCONJ	28	cc
28	Baleares	PROPN	24	conj
29	,	PUNCT	31	punct
30	donde	PRON	31	obl
31	operan	VERB	24	acl
32	365	NUM	31	nsubj
33	,	PUNCT	36	punct
34	lo	PRON	35	det
35	cual	PRON	36	nsubj
36	representa	VERB	32	advcl
37	el	DET	38	det
38	47,3	NUM	36	obj
39	por	ADP	40	case
40	ciento	NUM	38	compound
41	del	ADP	42	case
42	total	NOUN	38	nmod
43	del	ADP	44	case
44	sector	NOUN	42	nmod
45	.	PUNCT	19	punct