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:
Teo Babun, director de Cuba-Caribbean Development Co., espera grandes beneficios para las empresas de todo el país y, sobre todo, de Florida, una vez que desaparezca el régimen castrista.
Postion	Tokenization
1	Teo
2	Babun
3	,
4	director
5	de
6	Cuba-Caribbean
7	Development
8	Co.
9	,
10	espera
11	grandes
12	beneficios
13	para
14	las
15	empresas
16	de
17	todo
18	el
19	país
20	y
21	,
22	sobre
23	todo
24	,
25	de
26	Florida
27	,
28	una
29	vez
30	que
31	desaparezca
32	el
33	régimen
34	castrista
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Teo	PROPN	10	nsubj
2	Babun	PROPN	1	flat
3	,	PUNCT	4	punct
4	director	NOUN	1	appos
5	de	ADP	6	case
6	Cuba-Caribbean	PROPN	4	nmod
7	Development	PROPN	6	flat
8	Co.	PROPN	6	flat
9	,	PUNCT	4	punct
10	espera	VERB	0	root
11	grandes	ADJ	12	amod
12	beneficios	NOUN	10	obj
13	para	ADP	15	case
14	las	DET	15	det
15	empresas	NOUN	12	nmod
16	de	ADP	19	case
17	todo	DET	18	det
18	el	DET	19	det
19	país	NOUN	15	nmod
20	y	CCONJ	22	cc
21	,	PUNCT	22	punct
22	sobre	ADP	19	conj
23	todo	PRON	22	fixed
24	,	PUNCT	22	punct
25	de	ADP	22	case
26	Florida	PROPN	22	nmod
27	,	PUNCT	31	punct
28	una	DET	31	mark
29	vez	NOUN	28	fixed
30	que	SCONJ	28	fixed
31	desaparezca	VERB	10	advcl
32	el	DET	33	det
33	régimen	NOUN	31	nsubj
34	castrista	ADJ	33	amod
35	.	PUNCT	10	punct