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:
Miyazawa fue ministro de Finanzas del recientemente fallecido ex primer ministro Noboru Takeshita, cuyo gobierno cayó en 1989 tras conocerse que una serie de políticos habían recibido acciones de la empresa "Recruit" y habían ganado millones con su venta a las pocas semanas.
Postion	Tokenization
1	Miyazawa
2	fue
3	ministro
4	de
5	Finanzas
6	del
7	recientemente
8	fallecido
9	ex
10	primer
11	ministro
12	Noboru
13	Takeshita
14	,
15	cuyo
16	gobierno
17	cayó
18	en
19	1989
20	tras
21	conocerse
22	conocer
23	se
24	que
25	una
26	serie
27	de
28	políticos
29	habían
30	recibido
31	acciones
32	de
33	la
34	empresa
35	"
36	Recruit
37	"
38	y
39	habían
40	ganado
41	millones
42	con
43	su
44	venta
45	a
46	las
47	pocas
48	semanas
49	.
Position	Tokenization	UPOS	Head	Deprel
1	Miyazawa	PROPN	3	nsubj
2	fue	AUX	3	cop
3	ministro	NOUN	0	root
4	de	ADP	5	case
5	Finanzas	PROPN	3	nmod
6	del	ADP	11	case
7	recientemente	ADV	8	advmod
8	fallecido	ADJ	11	amod
9	ex	ADJ	11	amod
10	primer	ADJ	11	amod
11	ministro	NOUN	3	nmod
12	Noboru	PROPN	11	appos
13	Takeshita	PROPN	12	flat
14	,	PUNCT	17	punct
15	cuyo	PRON	16	nmod
16	gobierno	NOUN	17	nsubj
17	cayó	VERB	11	acl
18	en	ADP	19	case
19	1989	NOUN	17	obl
20	tras	ADP	21	mark
21	conocerse	_	None	_
22	conocer	VERB	17	advcl
23	se	PRON	21	expl:pass
24	que	SCONJ	21	mark
25	una	DET	25	det
26	serie	NOUN	21	nsubj
27	de	ADP	27	case
28	políticos	NOUN	25	nmod
29	habían	AUX	21	aux
30	recibido	VERB	21	xcomp
31	acciones	NOUN	29	obj
32	de	ADP	33	case
33	la	DET	33	det
34	empresa	NOUN	30	nmod
35	"	PUNCT	35	punct
36	Recruit	PROPN	33	appos
37	"	PUNCT	35	punct
38	y	CCONJ	39	cc
39	habían	AUX	39	aux
40	ganado	VERB	29	conj
41	millones	NOUN	39	obj
42	con	ADP	43	case
43	su	DET	43	det
44	venta	NOUN	39	obl
45	a	ADP	47	case
46	las	DET	47	det
47	pocas	DET	45	det
48	semanas	NOUN	39	obl
49	.	PUNCT	3	punct