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:
Tras una visita al Departamento de Elecciones del condado, Lincoln Díaz Balart, congresista republicano por Florida, dijo que "si esto ocurriera en cualquier otro país del mundo, habría una revolución".
Postion	Tokenization
1	Tras
2	una
3	visita
4	al
5	Departamento
6	de
7	Elecciones
8	del
9	condado
10	,
11	Lincoln
12	Díaz
13	Balart
14	,
15	congresista
16	republicano
17	por
18	Florida
19	,
20	dijo
21	que
22	"
23	si
24	esto
25	ocurriera
26	en
27	cualquier
28	otro
29	país
30	del
31	mundo
32	,
33	habría
34	una
35	revolución
36	"
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Tras	ADP	3	case
2	una	DET	3	det
3	visita	NOUN	20	obl
4	al	ADP	5	case
5	Departamento	PROPN	3	nmod
6	de	ADP	7	case
7	Elecciones	PROPN	5	flat
8	del	ADP	9	case
9	condado	NOUN	5	nmod
10	,	PUNCT	3	punct
11	Lincoln	PROPN	20	nsubj
12	Díaz	PROPN	11	flat
13	Balart	PROPN	11	flat
14	,	PUNCT	15	punct
15	congresista	NOUN	11	appos
16	republicano	ADJ	15	amod
17	por	ADP	18	case
18	Florida	PROPN	15	nmod
19	,	PUNCT	15	punct
20	dijo	VERB	0	root
21	que	SCONJ	33	mark
22	"	PUNCT	25	punct
23	si	SCONJ	25	mark
24	esto	PRON	25	nsubj
25	ocurriera	VERB	33	advcl
26	en	ADP	29	case
27	cualquier	DET	29	det
28	otro	DET	27	det
29	país	NOUN	25	obl
30	del	ADP	31	case
31	mundo	NOUN	29	nmod
32	,	PUNCT	25	punct
33	habría	AUX	20	ccomp
34	una	DET	35	det
35	revolución	NOUN	33	obj
36	"	PUNCT	20	punct
37	.	PUNCT	20	punct