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:
"Habrá una gran bonanza de oportunidades", asegura Sergio Díaz-Briquets, presidente de la Asociación para el Estudio de la Economía Cubana.
Postion	Tokenization
1	"
2	Habrá
3	una
4	gran
5	bonanza
6	de
7	oportunidades
8	"
9	,
10	asegura
11	Sergio
12	Díaz-Briquets
13	,
14	presidente
15	de
16	la
17	Asociación
18	para
19	el
20	Estudio
21	de
22	la
23	Economía
24	Cubana
25	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	2	punct
2	Habrá	AUX	10	ccomp
3	una	DET	5	det
4	gran	ADJ	5	amod
5	bonanza	NOUN	2	obj
6	de	ADP	7	case
7	oportunidades	NOUN	5	nmod
8	"	PUNCT	2	punct
9	,	PUNCT	2	punct
10	asegura	VERB	0	root
11	Sergio	PROPN	10	nsubj
12	Díaz-Briquets	PROPN	11	flat
13	,	PUNCT	14	punct
14	presidente	NOUN	11	appos
15	de	ADP	17	case
16	la	DET	17	det
17	Asociación	PROPN	14	nmod
18	para	ADP	20	case
19	el	DET	20	det
20	Estudio	PROPN	17	flat
21	de	ADP	23	case
22	la	DET	23	det
23	Economía	PROPN	17	flat
24	Cubana	PROPN	23	flat
25	.	PUNCT	10	punct