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:
La cantidad condonada forma parte de un total de 200.000 millones de yenes (1.886 millones de dólares) de la deuda contraída por Sogo con el Banco Shinsei y que las autoridades financieras comprarán con el fin de facilitar el plan de reflote.
Postion	Tokenization
1	La
2	cantidad
3	condonada
4	forma
5	parte
6	de
7	un
8	total
9	de
10	200.000
11	millones
12	de
13	yenes
14	(
15	1.886
16	millones
17	de
18	dólares
19	)
20	de
21	la
22	deuda
23	contraída
24	por
25	Sogo
26	con
27	el
28	Banco
29	Shinsei
30	y
31	que
32	las
33	autoridades
34	financieras
35	comprarán
36	con
37	el
38	fin
39	de
40	facilitar
41	el
42	plan
43	de
44	reflote
45	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	cantidad	NOUN	4	nsubj
3	condonada	ADJ	2	amod
4	forma	VERB	0	root
5	parte	NOUN	4	compound
6	de	ADP	11	case
7	un	DET	8	det
8	total	NOUN	11	nmod
9	de	ADP	8	case
10	200.000	NUM	8	nummod
11	millones	NOUN	4	obj
12	de	ADP	13	case
13	yenes	NOUN	11	nmod
14	(	PUNCT	16	punct
15	1.886	NUM	16	nummod
16	millones	NOUN	11	appos
17	de	ADP	18	case
18	dólares	NOUN	16	nmod
19	)	PUNCT	16	punct
20	de	ADP	22	case
21	la	DET	22	det
22	deuda	NOUN	11	nmod
23	contraída	ADJ	22	amod
24	por	ADP	25	case
25	Sogo	PROPN	23	obj
26	con	ADP	28	case
27	el	DET	28	det
28	Banco	PROPN	23	obl
29	Shinsei	PROPN	28	flat
30	y	CCONJ	35	cc
31	que	PRON	35	obj
32	las	DET	33	det
33	autoridades	NOUN	35	nsubj
34	financieras	ADJ	33	amod
35	comprarán	VERB	23	conj
36	con	ADP	40	mark
37	el	DET	36	fixed
38	fin	NOUN	36	fixed
39	de	ADP	36	fixed
40	facilitar	VERB	35	advcl
41	el	DET	42	det
42	plan	NOUN	40	obj
43	de	ADP	44	case
44	reflote	NOUN	42	nmod
45	.	PUNCT	4	punct