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:
"Esa y sólo esa" ha sido la causa de la revocación, añadió el alto cargo de la Junta, quien afirmó también que el propio Acedo ha reconocido que él no ha explotado directamente la emisora, sino que ésta ha sido explotada íntegramente por la sociedad Cáceres-Badajoz-Mérida (CBM S. L).
Postion	Tokenization
1	"
2	Esa
3	y
4	sólo
5	esa
6	"
7	ha
8	sido
9	la
10	causa
11	de
12	la
13	revocación
14	,
15	añadió
16	el
17	alto
18	cargo
19	de
20	la
21	Junta
22	,
23	quien
24	afirmó
25	también
26	que
27	el
28	propio
29	Acedo
30	ha
31	reconocido
32	que
33	él
34	no
35	ha
36	explotado
37	directamente
38	la
39	emisora
40	,
41	sino
42	que
43	ésta
44	ha
45	sido
46	explotada
47	íntegramente
48	por
49	la
50	sociedad
51	Cáceres-Badajoz-Mérida
52	(
53	CBM
54	S.
55	L
56	)
57	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	2	punct
2	Esa	PRON	15	ccomp
3	y	CCONJ	5	cc
4	sólo	ADV	5	advmod
5	esa	PRON	2	conj
6	"	PUNCT	2	punct
7	ha	AUX	2	aux
8	sido	AUX	2	cop
9	la	DET	10	det
10	causa	NOUN	2	nsubj
11	de	ADP	13	case
12	la	DET	13	det
13	revocación	NOUN	10	nmod
14	,	PUNCT	2	punct
15	añadió	VERB	0	root
16	el	DET	18	det
17	alto	ADJ	18	amod
18	cargo	NOUN	15	nsubj
19	de	ADP	21	case
20	la	DET	21	det
21	Junta	PROPN	18	nmod
22	,	PUNCT	24	punct
23	quien	PRON	24	nsubj
24	afirmó	VERB	18	acl
25	también	ADV	24	advmod
26	que	SCONJ	31	mark
27	el	DET	29	det
28	propio	ADJ	29	amod
29	Acedo	PROPN	31	nsubj
30	ha	AUX	31	aux
31	reconocido	VERB	24	ccomp
32	que	SCONJ	36	mark
33	él	PRON	36	nsubj
34	no	ADV	36	advmod
35	ha	AUX	36	aux
36	explotado	VERB	31	ccomp
37	directamente	ADV	36	advmod
38	la	DET	39	det
39	emisora	NOUN	36	obj
40	,	PUNCT	46	punct
41	sino	CCONJ	46	cc
42	que	SCONJ	41	fixed
43	ésta	PRON	46	nsubj
44	ha	AUX	46	aux
45	sido	AUX	46	aux
46	explotada	VERB	36	conj
47	íntegramente	ADV	46	advmod
48	por	ADP	50	case
49	la	DET	50	det
50	sociedad	NOUN	46	obj
51	Cáceres-Badajoz-Mérida	PROPN	50	appos
52	(	PUNCT	53	punct
53	CBM	PROPN	51	flat
54	S.	PROPN	53	flat
55	L	PROPN	53	flat
56	)	PUNCT	53	punct
57	.	PUNCT	15	punct