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:
Creo necesario regular el sector, catalogando los establecimientos por categorías y que no sea un chanchullo para rentabilizar propiedades de fin de semana en que los dueños no son profesionales del sector.
Postion	Tokenization
1	Creo
2	necesario
3	regular
4	el
5	sector
6	,
7	catalogando
8	los
9	establecimientos
10	por
11	categorías
12	y
13	que
14	no
15	sea
16	un
17	chanchullo
18	para
19	rentabilizar
20	propiedades
21	de
22	fin
23	de
24	semana
25	en
26	que
27	los
28	dueños
29	no
30	son
31	profesionales
32	del
33	sector
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Creo	VERB	0	root
2	necesario	ADJ	1	iobj
3	regular	VERB	1	xcomp
4	el	DET	5	det
5	sector	NOUN	3	obj
6	,	PUNCT	7	punct
7	catalogando	VERB	1	advcl
8	los	DET	9	det
9	establecimientos	NOUN	7	obj
10	por	ADP	11	case
11	categorías	NOUN	7	obl
12	y	CCONJ	17	cc
13	que	SCONJ	17	mark
14	no	ADV	17	advmod
15	sea	AUX	17	cop
16	un	DET	17	det
17	chanchullo	NOUN	1	conj
18	para	ADP	19	mark
19	rentabilizar	VERB	17	acl
20	propiedades	NOUN	19	obj
21	de	ADP	22	case
22	fin	NOUN	20	nmod
23	de	ADP	24	case
24	semana	NOUN	22	nmod
25	en	ADP	26	case
26	que	PRON	31	obl
27	los	DET	28	det
28	dueños	NOUN	31	nsubj
29	no	ADV	31	advmod
30	son	AUX	31	cop
31	profesionales	NOUN	17	acl
32	del	ADP	33	case
33	sector	NOUN	31	nmod
34	.	PUNCT	1	punct