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:
En su campaña electoral para las pasadas elecciones legislativas, Mori prometió prolongar la política económica de su antecesor, el fallecido Keizo Obuchi, quien fomentó un fuerte gasto público y elevó la deuda de Japón al peor nivel entre los países industrializados.
Postion	Tokenization
1	En
2	su
3	campaña
4	electoral
5	para
6	las
7	pasadas
8	elecciones
9	legislativas
10	,
11	Mori
12	prometió
13	prolongar
14	la
15	política
16	económica
17	de
18	su
19	antecesor
20	,
21	el
22	fallecido
23	Keizo
24	Obuchi
25	,
26	quien
27	fomentó
28	un
29	fuerte
30	gasto
31	público
32	y
33	elevó
34	la
35	deuda
36	de
37	Japón
38	al
39	peor
40	nivel
41	entre
42	los
43	países
44	industrializados
45	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	su	DET	3	det
3	campaña	NOUN	12	obl
4	electoral	ADJ	3	amod
5	para	ADP	8	case
6	las	DET	8	det
7	pasadas	ADJ	8	amod
8	elecciones	NOUN	3	nmod
9	legislativas	ADJ	8	amod
10	,	PUNCT	3	punct
11	Mori	PROPN	12	nsubj
12	prometió	VERB	0	root
13	prolongar	VERB	12	xcomp
14	la	DET	15	det
15	política	NOUN	13	obj
16	económica	ADJ	15	amod
17	de	ADP	19	case
18	su	DET	19	det
19	antecesor	NOUN	15	nmod
20	,	PUNCT	23	punct
21	el	DET	23	det
22	fallecido	ADJ	23	amod
23	Keizo	PROPN	19	appos
24	Obuchi	PROPN	23	flat
25	,	PUNCT	23	punct
26	quien	PRON	27	nsubj
27	fomentó	VERB	19	acl
28	un	DET	30	det
29	fuerte	ADJ	30	amod
30	gasto	NOUN	27	obj
31	público	ADJ	30	amod
32	y	CCONJ	33	cc
33	elevó	VERB	27	conj
34	la	DET	35	det
35	deuda	NOUN	33	obj
36	de	ADP	37	case
37	Japón	PROPN	35	nmod
38	al	ADP	40	case
39	peor	ADJ	40	amod
40	nivel	NOUN	33	obl
41	entre	ADP	43	case
42	los	DET	43	det
43	países	NOUN	40	nmod
44	industrializados	ADJ	43	amod
45	.	PUNCT	12	punct