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:
El presidente de la UCE en Asturias, Dacio Alonso, consideró "burda" esa explicación y criticó a la Fiscalía General del Estado por no haber actuado de oficio cuando se formularon las primeras denuncias del caso hace dos semanas.
Postion	Tokenization
1	El
2	presidente
3	de
4	la
5	UCE
6	en
7	Asturias
8	,
9	Dacio
10	Alonso
11	,
12	consideró
13	"
14	burda
15	"
16	esa
17	explicación
18	y
19	criticó
20	a
21	la
22	Fiscalía
23	General
24	del
25	Estado
26	por
27	no
28	haber
29	actuado
30	de
31	oficio
32	cuando
33	se
34	formularon
35	las
36	primeras
37	denuncias
38	del
39	caso
40	hace
41	dos
42	semanas
43	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	presidente	NOUN	12	nsubj
3	de	ADP	5	case
4	la	DET	5	det
5	UCE	PROPN	2	nmod
6	en	ADP	7	case
7	Asturias	PROPN	2	nmod
8	,	PUNCT	9	punct
9	Dacio	PROPN	2	appos
10	Alonso	PROPN	9	flat
11	,	PUNCT	9	punct
12	consideró	VERB	0	root
13	"	PUNCT	14	punct
14	burda	ADJ	12	obj
15	"	PUNCT	14	punct
16	esa	DET	17	det
17	explicación	NOUN	12	obj
18	y	CCONJ	19	cc
19	criticó	VERB	12	conj
20	a	ADP	22	case
21	la	DET	22	det
22	Fiscalía	PROPN	19	obj
23	General	PROPN	22	flat
24	del	ADP	25	case
25	Estado	PROPN	22	flat
26	por	ADP	29	mark
27	no	ADV	29	advmod
28	haber	AUX	29	aux
29	actuado	VERB	19	advcl
30	de	ADP	29	advmod
31	oficio	NOUN	30	fixed
32	cuando	SCONJ	34	mark
33	se	PRON	34	expl:pass
34	formularon	VERB	29	ccomp
35	las	DET	37	det
36	primeras	ADJ	37	amod
37	denuncias	NOUN	34	nsubj
38	del	ADP	39	case
39	caso	NOUN	37	nmod
40	hace	VERB	34	advcl
41	dos	NUM	42	nummod
42	semanas	NOUN	40	obj
43	.	PUNCT	12	punct