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:
"Balaguer cree en la juventud y la juventud ve en Balaguer la esperanza para el bienestar y el progreso del pueblo dominicano", dijo hoy el diputado Ramón Rogelio Genao, incondicional del líder del PRSC.
Postion	Tokenization
1	"
2	Balaguer
3	cree
4	en
5	la
6	juventud
7	y
8	la
9	juventud
10	ve
11	en
12	Balaguer
13	la
14	esperanza
15	para
16	el
17	bienestar
18	y
19	el
20	progreso
21	del
22	pueblo
23	dominicano
24	"
25	,
26	dijo
27	hoy
28	el
29	diputado
30	Ramón
31	Rogelio
32	Genao
33	,
34	incondicional
35	del
36	líder
37	del
38	PRSC
39	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	3	punct
2	Balaguer	PROPN	3	nsubj
3	cree	VERB	26	ccomp
4	en	ADP	6	case
5	la	DET	6	det
6	juventud	NOUN	3	obj
7	y	CCONJ	10	cc
8	la	DET	9	det
9	juventud	NOUN	10	nsubj
10	ve	VERB	3	conj
11	en	ADP	12	case
12	Balaguer	PROPN	10	obl
13	la	DET	14	det
14	esperanza	NOUN	10	obj
15	para	ADP	17	case
16	el	DET	17	det
17	bienestar	NOUN	14	nmod
18	y	CCONJ	20	cc
19	el	DET	20	det
20	progreso	NOUN	17	conj
21	del	ADP	22	case
22	pueblo	NOUN	17	nmod
23	dominicano	ADJ	22	amod
24	"	PUNCT	3	punct
25	,	PUNCT	3	punct
26	dijo	VERB	0	root
27	hoy	ADV	26	advmod
28	el	DET	29	det
29	diputado	NOUN	26	nsubj
30	Ramón	PROPN	29	appos
31	Rogelio	PROPN	30	flat
32	Genao	PROPN	30	flat
33	,	PUNCT	34	punct
34	incondicional	ADJ	29	amod
35	del	ADP	36	case
36	líder	NOUN	34	nmod
37	del	ADP	38	case
38	PRSC	PROPN	36	nmod
39	.	PUNCT	26	punct