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:
"Nada de eso", agregó Morales Bruque, quien reiteró que la no renovación en este caso concreto está motivada porque el alcalde de Mérida, a quien se le adjudicó la frecuencia en 1989, cuando aún no era regidor municipal, no ha explotado directamente la emisora de la que hace uso la frecuencia que se le concedió, tal y como estipula la ley.
Postion	Tokenization
1	"
2	Nada
3	de
4	eso
5	"
6	,
7	agregó
8	Morales
9	Bruque
10	,
11	quien
12	reiteró
13	que
14	la
15	no
16	renovación
17	en
18	este
19	caso
20	concreto
21	está
22	motivada
23	porque
24	el
25	alcalde
26	de
27	Mérida
28	,
29	a
30	quien
31	se
32	le
33	adjudicó
34	la
35	frecuencia
36	en
37	1989
38	,
39	cuando
40	aún
41	no
42	era
43	regidor
44	municipal
45	,
46	no
47	ha
48	explotado
49	directamente
50	la
51	emisora
52	de
53	la
54	que
55	hace
56	uso
57	la
58	frecuencia
59	que
60	se
61	le
62	concedió
63	,
64	tal
65	y
66	como
67	estipula
68	la
69	ley
70	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	2	punct
2	Nada	PRON	7	obl
3	de	ADP	4	case
4	eso	PRON	2	nmod
5	"	PUNCT	2	punct
6	,	PUNCT	2	punct
7	agregó	VERB	0	root
8	Morales	PROPN	7	nsubj
9	Bruque	PROPN	8	flat
10	,	PUNCT	12	punct
11	quien	PRON	12	nsubj
12	reiteró	VERB	8	acl
13	que	SCONJ	48	mark
14	la	DET	16	det
15	no	ADV	16	advmod
16	renovación	NOUN	48	nsubj
17	en	ADP	19	case
18	este	DET	19	det
19	caso	NOUN	16	nmod
20	concreto	ADJ	19	amod
21	está	AUX	22	cop
22	motivada	ADJ	48	xcomp
23	porque	SCONJ	48	mark
24	el	DET	25	det
25	alcalde	NOUN	48	nsubj
26	de	ADP	27	case
27	Mérida	PROPN	25	nmod
28	,	PUNCT	33	punct
29	a	ADP	30	case
30	quien	PRON	33	obj
31	se	PRON	33	expl:pass
32	le	PRON	33	obj
33	adjudicó	VERB	25	acl
34	la	DET	35	det
35	frecuencia	NOUN	33	nsubj
36	en	ADP	37	case
37	1989	NOUN	33	obl
38	,	PUNCT	43	punct
39	cuando	PRON	43	obl
40	aún	ADV	43	advmod
41	no	ADV	43	advmod
42	era	AUX	43	cop
43	regidor	NOUN	37	acl
44	municipal	ADJ	43	amod
45	,	PUNCT	43	punct
46	no	ADV	48	advmod
47	ha	AUX	48	aux
48	explotado	VERB	12	ccomp
49	directamente	ADV	48	advmod
50	la	DET	51	det
51	emisora	NOUN	48	obj
52	de	ADP	54	case
53	la	DET	54	det
54	que	PRON	55	obj
55	hace	VERB	51	acl
56	uso	NOUN	55	compound
57	la	DET	58	det
58	frecuencia	NOUN	55	nsubj
59	que	PRON	62	nsubj
60	se	PRON	62	expl:pass
61	le	PRON	62	obj
62	concedió	VERB	58	acl
63	,	PUNCT	67	punct
64	tal	NOUN	67	mark
65	y	CCONJ	64	fixed
66	como	SCONJ	64	fixed
67	estipula	VERB	62	advcl
68	la	DET	69	det
69	ley	NOUN	67	nsubj
70	.	PUNCT	7	punct