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 ministro de Hacienda, Cristóbal Montoro, destacó que "el Gobierno garantizará que cualquier movimiento que se produzca en el sector eléctrico sea beneficioso para los consumidores, unidades familiares y empresas".
Postion	Tokenization
1	El
2	ministro
3	de
4	Hacienda
5	,
6	Cristóbal
7	Montoro
8	,
9	destacó
10	que
11	"
12	el
13	Gobierno
14	garantizará
15	que
16	cualquier
17	movimiento
18	que
19	se
20	produzca
21	en
22	el
23	sector
24	eléctrico
25	sea
26	beneficioso
27	para
28	los
29	consumidores
30	,
31	unidades
32	familiares
33	y
34	empresas
35	"
36	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	ministro	NOUN	9	nsubj
3	de	ADP	4	case
4	Hacienda	PROPN	2	nmod
5	,	PUNCT	6	punct
6	Cristóbal	PROPN	2	appos
7	Montoro	PROPN	6	flat
8	,	PUNCT	6	punct
9	destacó	VERB	0	root
10	que	SCONJ	14	mark
11	"	PUNCT	14	punct
12	el	DET	13	det
13	Gobierno	PROPN	14	nsubj
14	garantizará	VERB	9	ccomp
15	que	SCONJ	26	mark
16	cualquier	DET	17	det
17	movimiento	NOUN	26	nsubj
18	que	PRON	20	nsubj
19	se	PRON	20	expl:pv
20	produzca	VERB	17	acl
21	en	ADP	23	case
22	el	DET	23	det
23	sector	NOUN	20	obl
24	eléctrico	ADJ	23	amod
25	sea	AUX	26	cop
26	beneficioso	ADJ	14	ccomp
27	para	ADP	29	case
28	los	DET	29	det
29	consumidores	NOUN	26	nmod
30	,	PUNCT	31	punct
31	unidades	NOUN	29	appos
32	familiares	ADJ	31	amod
33	y	CCONJ	34	cc
34	empresas	NOUN	29	conj
35	"	PUNCT	14	punct
36	.	PUNCT	9	punct