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 reveló el diputado Oscar Alvarado, Fox "está preocupado porque piensa que con esto se rompió con el equilibrio político y, sobre todo, por la inquietud que hay en el ámbito internacional".
Postion	Tokenization
1	Según
2	reveló
3	el
4	diputado
5	Oscar
6	Alvarado
7	,
8	Fox
9	"
10	está
11	preocupado
12	porque
13	piensa
14	que
15	con
16	esto
17	se
18	rompió
19	con
20	el
21	equilibrio
22	político
23	y
24	,
25	sobre
26	todo
27	,
28	por
29	la
30	inquietud
31	que
32	hay
33	en
34	el
35	ámbito
36	internacional
37	"
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Según	SCONJ	2	mark
2	reveló	VERB	10	advcl
3	el	DET	4	det
4	diputado	NOUN	2	nsubj
5	Oscar	PROPN	4	appos
6	Alvarado	PROPN	5	flat
7	,	PUNCT	2	punct
8	Fox	PROPN	10	nsubj
9	"	PUNCT	10	punct
10	está	VERB	0	root
11	preocupado	ADJ	13	xcomp
12	porque	SCONJ	13	mark
13	piensa	VERB	10	ccomp
14	que	SCONJ	18	mark
15	con	ADP	16	case
16	esto	PRON	18	obl
17	se	PRON	18	expl:pv
18	rompió	VERB	11	ccomp
19	con	ADP	21	case
20	el	DET	21	det
21	equilibrio	NOUN	18	obl
22	político	ADJ	21	amod
23	y	CCONJ	25	cc
24	,	PUNCT	25	punct
25	sobre	ADP	11	conj
26	todo	PRON	25	fixed
27	,	PUNCT	25	punct
28	por	ADP	25	case
29	la	DET	30	det
30	inquietud	NOUN	25	nmod
31	que	PRON	32	obj
32	hay	AUX	30	acl
33	en	ADP	35	case
34	el	DET	35	det
35	ámbito	NOUN	32	obl
36	internacional	ADJ	35	amod
37	"	PUNCT	10	punct
38	.	PUNCT	10	punct