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:
Una monja, por ejemplo, denunció que un tanque grande de pintura que el año pasado compró en 190.000 sucres (7,6 dólares) ahora cuesta 970.000 sucres (38,8 dólares).
Postion	Tokenization
1	Una
2	monja
3	,
4	por
5	ejemplo
6	,
7	denunció
8	que
9	un
10	tanque
11	grande
12	de
13	pintura
14	que
15	el
16	año
17	pasado
18	compró
19	en
20	190.000
21	sucres
22	(
23	7,6
24	dólares
25	)
26	ahora
27	cuesta
28	970.000
29	sucres
30	(
31	38,8
32	dólares
33	)
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Una	DET	2	det
2	monja	NOUN	7	nsubj
3	,	PUNCT	4	punct
4	por	ADP	7	advmod
5	ejemplo	NOUN	4	fixed
6	,	PUNCT	4	punct
7	denunció	VERB	0	root
8	que	SCONJ	27	mark
9	un	DET	10	det
10	tanque	NOUN	27	nsubj
11	grande	ADJ	10	amod
12	de	ADP	13	case
13	pintura	NOUN	10	nmod
14	que	PRON	18	obj
15	el	DET	16	det
16	año	NOUN	18	obl
17	pasado	ADJ	16	amod
18	compró	VERB	10	acl
19	en	ADP	21	case
20	190.000	NUM	21	nummod
21	sucres	NOUN	18	obl
22	(	PUNCT	24	punct
23	7,6	NUM	24	nummod
24	dólares	NOUN	21	appos
25	)	PUNCT	24	punct
26	ahora	ADV	27	advmod
27	cuesta	VERB	7	ccomp
28	970.000	NUM	29	nummod
29	sucres	NOUN	27	obj
30	(	PUNCT	32	punct
31	38,8	NUM	32	nummod
32	dólares	NOUN	29	appos
33	)	PUNCT	32	punct
34	.	PUNCT	7	punct