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:
Además, el octogenario ministro defiende la controvertida condonación de las deudas a los grandes almacenes Sogo, firma privada en quiebra técnica a la que el gobierno nipón perdonará obligaciones por 97.000 millones de yenes (915 millones de dólares).
Postion	Tokenization
1	Además
2	,
3	el
4	octogenario
5	ministro
6	defiende
7	la
8	controvertida
9	condonación
10	de
11	las
12	deudas
13	a
14	los
15	grandes
16	almacenes
17	Sogo
18	,
19	firma
20	privada
21	en
22	quiebra
23	técnica
24	a
25	la
26	que
27	el
28	gobierno
29	nipón
30	perdonará
31	obligaciones
32	por
33	97.000
34	millones
35	de
36	yenes
37	(
38	915
39	millones
40	de
41	dólares
42	)
43	.
Position	Tokenization	UPOS	Head	Deprel
1	Además	ADV	6	advmod
2	,	PUNCT	1	punct
3	el	DET	5	det
4	octogenario	ADJ	5	amod
5	ministro	NOUN	6	nsubj
6	defiende	VERB	0	root
7	la	DET	9	det
8	controvertida	ADJ	9	amod
9	condonación	NOUN	6	obj
10	de	ADP	12	case
11	las	DET	12	det
12	deudas	NOUN	9	nmod
13	a	ADP	16	case
14	los	DET	16	det
15	grandes	ADJ	16	amod
16	almacenes	NOUN	9	nmod
17	Sogo	PROPN	16	appos
18	,	PUNCT	19	punct
19	firma	NOUN	17	appos
20	privada	ADJ	19	amod
21	en	ADP	22	case
22	quiebra	NOUN	19	nmod
23	técnica	ADJ	22	amod
24	a	ADP	26	case
25	la	DET	26	det
26	que	PRON	30	obj
27	el	DET	28	det
28	gobierno	NOUN	30	nsubj
29	nipón	ADJ	28	amod
30	perdonará	VERB	19	acl
31	obligaciones	NOUN	30	obj
32	por	ADP	34	case
33	97.000	NUM	34	nummod
34	millones	NOUN	31	nmod
35	de	ADP	36	case
36	yenes	NOUN	34	nmod
37	(	PUNCT	39	punct
38	915	NUM	39	nummod
39	millones	NOUN	34	appos
40	de	ADP	41	case
41	dólares	NOUN	39	nmod
42	)	PUNCT	39	punct
43	.	PUNCT	6	punct