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:
Así lo aseguró el presidente ejecutivo del Banco Solidario, Santiago Ribadeneira, quien dijo a EFE que el crédito tiene una base de cien dólares (equivalente a un salario mínimo vital) y un máximo de 10.000 dólares, a un interés del 18 por ciento y con un plazo que se acoplará a las necesidades del cliente.
Postion	Tokenization
1	Así
2	lo
3	aseguró
4	el
5	presidente
6	ejecutivo
7	del
8	Banco
9	Solidario
10	,
11	Santiago
12	Ribadeneira
13	,
14	quien
15	dijo
16	a
17	EFE
18	que
19	el
20	crédito
21	tiene
22	una
23	base
24	de
25	cien
26	dólares
27	(
28	equivalente
29	a
30	un
31	salario
32	mínimo
33	vital
34	)
35	y
36	un
37	máximo
38	de
39	10.000
40	dólares
41	,
42	a
43	un
44	interés
45	del
46	18
47	por
48	ciento
49	y
50	con
51	un
52	plazo
53	que
54	se
55	acoplará
56	a
57	las
58	necesidades
59	del
60	cliente
61	.
Position	Tokenization	UPOS	Head	Deprel
1	Así	ADV	3	advmod
2	lo	PRON	3	obj
3	aseguró	VERB	0	root
4	el	DET	5	det
5	presidente	NOUN	3	nsubj
6	ejecutivo	ADJ	5	amod
7	del	ADP	8	case
8	Banco	PROPN	5	nmod
9	Solidario	PROPN	8	flat
10	,	PUNCT	11	punct
11	Santiago	PROPN	5	appos
12	Ribadeneira	PROPN	11	flat
13	,	PUNCT	11	punct
14	quien	PRON	15	nsubj
15	dijo	VERB	5	acl
16	a	ADP	17	case
17	EFE	PROPN	15	iobj
18	que	SCONJ	21	mark
19	el	DET	20	det
20	crédito	NOUN	21	nsubj
21	tiene	VERB	15	ccomp
22	una	DET	23	det
23	base	NOUN	21	obj
24	de	ADP	26	case
25	cien	NUM	26	nummod
26	dólares	NOUN	23	nmod
27	(	PUNCT	28	punct
28	equivalente	NOUN	26	appos
29	a	ADP	31	case
30	un	DET	31	det
31	salario	NOUN	28	nmod
32	mínimo	ADJ	31	amod
33	vital	ADJ	31	amod
34	)	PUNCT	28	punct
35	y	CCONJ	37	cc
36	un	DET	37	det
37	máximo	ADJ	23	conj
38	de	ADP	40	case
39	10.000	NUM	40	nummod
40	dólares	NOUN	37	nmod
41	,	PUNCT	44	punct
42	a	ADP	44	case
43	un	DET	44	det
44	interés	NOUN	37	nmod
45	del	ADP	46	case
46	18	NUM	44	nummod
47	por	ADP	48	case
48	ciento	NUM	46	compound
49	y	CCONJ	52	cc
50	con	ADP	52	case
51	un	DET	52	det
52	plazo	NOUN	44	conj
53	que	PRON	55	nsubj
54	se	PRON	55	expl:pass
55	acoplará	VERB	52	acl
56	a	ADP	58	case
57	las	DET	58	det
58	necesidades	NOUN	55	obj
59	del	ADP	60	case
60	cliente	NOUN	58	nmod
61	.	PUNCT	3	punct