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:
Cualquier empresario que pide la legalización de su establecimiento - - en estos momentos, Holanda tiene unos 1.125 registrados, entre ellos los explotadores de las famosas ventanas rojas en todas las grandes ciudades - - será sometido a una investigación judicial, para evitar que el mundo criminal se apodere del negocio y blanquee su dinero negro gracias a la nueva ley.
Postion	Tokenization
1	Cualquier
2	empresario
3	que
4	pide
5	la
6	legalización
7	de
8	su
9	establecimiento
10	-
11	-
12	en
13	estos
14	momentos
15	,
16	Holanda
17	tiene
18	unos
19	1.125
20	registrados
21	,
22	entre
23	ellos
24	los
25	explotadores
26	de
27	las
28	famosas
29	ventanas
30	rojas
31	en
32	todas
33	las
34	grandes
35	ciudades
36	-
37	-
38	será
39	sometido
40	a
41	una
42	investigación
43	judicial
44	,
45	para
46	evitar
47	que
48	el
49	mundo
50	criminal
51	se
52	apodere
53	del
54	negocio
55	y
56	blanquee
57	su
58	dinero
59	negro
60	gracias
61	a
62	la
63	nueva
64	ley
65	.
Position	Tokenization	UPOS	Head	Deprel
1	Cualquier	DET	2	det
2	empresario	NOUN	39	nsubj
3	que	PRON	4	nsubj
4	pide	VERB	2	acl
5	la	DET	6	det
6	legalización	NOUN	4	obj
7	de	ADP	9	case
8	su	DET	9	det
9	establecimiento	NOUN	6	nmod
10	-	PUNCT	17	punct
11	-	PUNCT	17	punct
12	en	ADP	14	case
13	estos	DET	14	det
14	momentos	NOUN	17	obl
15	,	PUNCT	14	punct
16	Holanda	PROPN	17	nsubj
17	tiene	VERB	39	parataxis
18	unos	PRON	19	nmod
19	1.125	NUM	20	nummod
20	registrados	ADJ	17	obj
21	,	PUNCT	25	punct
22	entre	ADP	23	case
23	ellos	PRON	25	nmod
24	los	DET	25	det
25	explotadores	NOUN	20	obj
26	de	ADP	29	case
27	las	DET	29	det
28	famosas	ADJ	29	amod
29	ventanas	NOUN	25	nmod
30	rojas	ADJ	29	amod
31	en	ADP	35	case
32	todas	DET	33	det
33	las	DET	35	det
34	grandes	ADJ	35	amod
35	ciudades	NOUN	25	nmod
36	-	PUNCT	17	punct
37	-	PUNCT	17	punct
38	será	AUX	39	aux
39	sometido	VERB	0	root
40	a	ADP	42	case
41	una	DET	42	det
42	investigación	NOUN	39	obj
43	judicial	ADJ	42	amod
44	,	PUNCT	46	punct
45	para	ADP	46	mark
46	evitar	VERB	39	advcl
47	que	SCONJ	52	mark
48	el	DET	49	det
49	mundo	NOUN	52	nsubj
50	criminal	ADJ	49	amod
51	se	PRON	52	expl:pv
52	apodere	VERB	46	ccomp
53	del	ADP	54	case
54	negocio	NOUN	52	obj
55	y	CCONJ	56	cc
56	blanquee	VERB	52	conj
57	su	DET	58	det
58	dinero	NOUN	56	obj
59	negro	ADJ	58	amod
60	gracias	NOUN	64	case
61	a	ADP	60	fixed
62	la	DET	64	det
63	nueva	ADJ	64	amod
64	ley	NOUN	56	obl
65	.	PUNCT	39	punct