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:
El Banco Solidario tiene un patrimonio de 10,5 millones de dólares y una capacidad de crédito mensual de 1,5 millones de dólares en el proyecto para pequeños créditos.
Postion	Tokenization
1	El
2	Banco
3	Solidario
4	tiene
5	un
6	patrimonio
7	de
8	10,5
9	millones
10	de
11	dólares
12	y
13	una
14	capacidad
15	de
16	crédito
17	mensual
18	de
19	1,5
20	millones
21	de
22	dólares
23	en
24	el
25	proyecto
26	para
27	pequeños
28	créditos
29	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Banco	PROPN	4	nsubj
3	Solidario	PROPN	2	flat
4	tiene	VERB	0	root
5	un	DET	6	det
6	patrimonio	NOUN	4	obj
7	de	ADP	9	case
8	10,5	NUM	9	nummod
9	millones	NOUN	6	nmod
10	de	ADP	11	case
11	dólares	NOUN	9	nmod
12	y	CCONJ	14	cc
13	una	DET	14	det
14	capacidad	NOUN	6	conj
15	de	ADP	16	case
16	crédito	NOUN	14	nmod
17	mensual	ADJ	16	amod
18	de	ADP	20	case
19	1,5	NUM	20	nummod
20	millones	NOUN	14	nmod
21	de	ADP	22	case
22	dólares	NOUN	20	nmod
23	en	ADP	25	case
24	el	DET	25	det
25	proyecto	NOUN	14	nmod
26	para	ADP	28	case
27	pequeños	ADJ	28	amod
28	créditos	NOUN	14	nmod
29	.	PUNCT	4	punct