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:
Este recuento y el que se haga con los sufragios enviados por correo sería el que determinaría finalmente el resultado de las elecciones en Florida.
Postion	Tokenization
1	Este
2	recuento
3	y
4	el
5	que
6	se
7	haga
8	con
9	los
10	sufragios
11	enviados
12	por
13	correo
14	sería
15	el
16	que
17	determinaría
18	finalmente
19	el
20	resultado
21	de
22	las
23	elecciones
24	en
25	Florida
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Este	DET	2	det
2	recuento	NOUN	14	nsubj
3	y	CCONJ	7	cc
4	el	DET	7	det
5	que	PRON	7	nsubj
6	se	PRON	7	expl:pass
7	haga	VERB	2	conj
8	con	ADP	10	case
9	los	DET	10	det
10	sufragios	NOUN	7	obl
11	enviados	ADJ	10	amod
12	por	ADP	13	case
13	correo	NOUN	11	obl
14	sería	AUX	0	root
15	el	DET	17	det
16	que	PRON	17	nsubj
17	determinaría	VERB	14	ccomp
18	finalmente	ADV	17	advmod
19	el	DET	20	det
20	resultado	NOUN	17	obj
21	de	ADP	23	case
22	las	DET	23	det
23	elecciones	NOUN	20	nmod
24	en	ADP	25	case
25	Florida	PROPN	23	nmod
26	.	PUNCT	14	punct