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:
Según el delegado del Gobierno en la Comunidad Valenciana, Carlos González Cepeda, se trata de un grupo "de ultraderecha" que protagoniza actos de este tipo durante la campaña electoral para darse a conocer "aprovechando la coyuntura de una noche favorable".
Postion	Tokenization
1	Según
2	el
3	delegado
4	del
5	Gobierno
6	en
7	la
8	Comunidad
9	Valenciana
10	,
11	Carlos
12	González
13	Cepeda
14	,
15	se
16	trata
17	de
18	un
19	grupo
20	"
21	de
22	ultraderecha
23	"
24	que
25	protagoniza
26	actos
27	de
28	este
29	tipo
30	durante
31	la
32	campaña
33	electoral
34	para
35	darse
36	dar
37	se
38	a
39	conocer
40	"
41	aprovechando
42	la
43	coyuntura
44	de
45	una
46	noche
47	favorable
48	"
49	.
Position	Tokenization	UPOS	Head	Deprel
1	Según	ADP	3	case
2	el	DET	3	det
3	delegado	NOUN	16	obl
4	del	ADP	5	case
5	Gobierno	PROPN	3	nmod
6	en	ADP	8	case
7	la	DET	8	det
8	Comunidad	PROPN	3	nmod
9	Valenciana	PROPN	8	flat
10	,	PUNCT	11	punct
11	Carlos	PROPN	3	appos
12	González	PROPN	11	flat
13	Cepeda	PROPN	11	flat
14	,	PUNCT	11	punct
15	se	PRON	16	expl:impers
16	trata	VERB	0	root
17	de	ADP	19	case
18	un	DET	19	det
19	grupo	NOUN	16	obj
20	"	PUNCT	22	punct
21	de	ADP	22	case
22	ultraderecha	NOUN	19	nmod
23	"	PUNCT	22	punct
24	que	PRON	25	nsubj
25	protagoniza	VERB	19	acl
26	actos	NOUN	25	obj
27	de	ADP	29	case
28	este	DET	29	det
29	tipo	NOUN	26	nmod
30	durante	ADP	32	case
31	la	DET	32	det
32	campaña	NOUN	25	obl
33	electoral	ADJ	32	amod
34	para	ADP	35	mark
35	darse	_	None	_
36	dar	VERB	25	advcl
37	se	PRON	35	expl:pv
38	a	ADP	38	mark
39	conocer	VERB	35	xcomp
40	"	PUNCT	40	punct
41	aprovechando	VERB	35	xcomp
42	la	DET	42	det
43	coyuntura	NOUN	40	obj
44	de	ADP	45	case
45	una	DET	45	det
46	noche	NOUN	42	nmod
47	favorable	ADJ	45	amod
48	"	PUNCT	40	punct
49	.	PUNCT	16	punct