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:
Morales Bruque denunció la "ceremonia de la confusión que se ha creado en torno a este tema" e hizo especial hincapié al caso del alcalde de Mérida, Pedro Acedo, del PP, a quien no se le ha renovado la licencia de explotación de la emisora de FM de la que es titular en Don Benito (Badajoz), afiliada a la COPE.
Postion	Tokenization
1	Morales
2	Bruque
3	denunció
4	la
5	"
6	ceremonia
7	de
8	la
9	confusión
10	que
11	se
12	ha
13	creado
14	en
15	torno
16	a
17	este
18	tema
19	"
20	e
21	hizo
22	especial
23	hincapié
24	al
25	caso
26	del
27	alcalde
28	de
29	Mérida
30	,
31	Pedro
32	Acedo
33	,
34	del
35	PP
36	,
37	a
38	quien
39	no
40	se
41	le
42	ha
43	renovado
44	la
45	licencia
46	de
47	explotación
48	de
49	la
50	emisora
51	de
52	FM
53	de
54	la
55	que
56	es
57	titular
58	en
59	Don
60	Benito
61	(
62	Badajoz
63	)
64	,
65	afiliada
66	a
67	la
68	COPE
69	.
Position	Tokenization	UPOS	Head	Deprel
1	Morales	PROPN	3	nsubj
2	Bruque	PROPN	1	flat
3	denunció	VERB	0	root
4	la	DET	6	det
5	"	PUNCT	6	punct
6	ceremonia	NOUN	3	obj
7	de	ADP	9	case
8	la	DET	9	det
9	confusión	NOUN	6	nmod
10	que	PRON	13	nsubj
11	se	PRON	13	expl:pass
12	ha	AUX	13	aux
13	creado	VERB	9	acl
14	en	ADP	18	case
15	torno	NOUN	14	fixed
16	a	ADP	14	fixed
17	este	DET	18	det
18	tema	NOUN	13	obl
19	"	PUNCT	6	punct
20	e	CCONJ	21	cc
21	hizo	VERB	3	conj
22	especial	ADJ	23	amod
23	hincapié	NOUN	21	obj
24	al	ADP	25	case
25	caso	NOUN	21	obj
26	del	ADP	27	case
27	alcalde	NOUN	25	nmod
28	de	ADP	29	case
29	Mérida	PROPN	27	nmod
30	,	PUNCT	31	punct
31	Pedro	PROPN	27	appos
32	Acedo	PROPN	31	flat
33	,	PUNCT	31	punct
34	del	ADP	35	case
35	PP	PROPN	27	nmod
36	,	PUNCT	43	punct
37	a	ADP	38	case
38	quien	PRON	43	obj
39	no	ADV	43	advmod
40	se	PRON	43	expl:pass
41	le	PRON	43	obj
42	ha	AUX	43	aux
43	renovado	VERB	27	acl
44	la	DET	45	det
45	licencia	NOUN	43	nsubj
46	de	ADP	47	case
47	explotación	NOUN	45	nmod
48	de	ADP	50	case
49	la	DET	50	det
50	emisora	NOUN	47	nmod
51	de	ADP	52	case
52	FM	PROPN	50	nmod
53	de	ADP	55	case
54	la	DET	55	det
55	que	PRON	57	obj
56	es	AUX	57	cop
57	titular	NOUN	50	acl
58	en	ADP	59	case
59	Don	PROPN	57	obl
60	Benito	PROPN	59	flat
61	(	PUNCT	62	punct
62	Badajoz	PROPN	59	flat
63	)	PUNCT	62	punct
64	,	PUNCT	57	punct
65	afiliada	ADJ	57	advmod
66	a	ADP	68	case
67	la	DET	68	det
68	COPE	PROPN	65	obj
69	.	PUNCT	3	punct