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:
Para muchos expertos, Miyazawa personifica a la vieja guardia de un partido hegemónico con arraigados vínculos en las grandes firmas constructoras y de manufactura tradicional en un momento en el que la segunda economía del mundo necesita una nueva dinámica para entrar de lleno en la era de la información.
Postion	Tokenization
1	Para
2	muchos
3	expertos
4	,
5	Miyazawa
6	personifica
7	a
8	la
9	vieja
10	guardia
11	de
12	un
13	partido
14	hegemónico
15	con
16	arraigados
17	vínculos
18	en
19	las
20	grandes
21	firmas
22	constructoras
23	y
24	de
25	manufactura
26	tradicional
27	en
28	un
29	momento
30	en
31	el
32	que
33	la
34	segunda
35	economía
36	del
37	mundo
38	necesita
39	una
40	nueva
41	dinámica
42	para
43	entrar
44	de
45	lleno
46	en
47	la
48	era
49	de
50	la
51	información
52	.
Position	Tokenization	UPOS	Head	Deprel
1	Para	ADP	3	case
2	muchos	DET	3	det
3	expertos	NOUN	6	obl
4	,	PUNCT	3	punct
5	Miyazawa	PROPN	6	nsubj
6	personifica	VERB	0	root
7	a	ADP	10	case
8	la	DET	10	det
9	vieja	ADJ	10	amod
10	guardia	NOUN	6	obj
11	de	ADP	13	case
12	un	DET	13	det
13	partido	NOUN	10	nmod
14	hegemónico	ADJ	13	amod
15	con	ADP	17	case
16	arraigados	ADJ	17	amod
17	vínculos	NOUN	13	nmod
18	en	ADP	21	case
19	las	DET	21	det
20	grandes	ADJ	21	amod
21	firmas	NOUN	17	nmod
22	constructoras	ADJ	21	amod
23	y	CCONJ	25	cc
24	de	ADP	25	case
25	manufactura	NOUN	17	conj
26	tradicional	ADJ	25	amod
27	en	ADP	29	case
28	un	DET	29	det
29	momento	NOUN	6	obl
30	en	ADP	32	case
31	el	DET	32	det
32	que	PRON	38	obl
33	la	DET	35	det
34	segunda	ADJ	35	amod
35	economía	NOUN	38	nsubj
36	del	ADP	37	case
37	mundo	NOUN	35	nmod
38	necesita	VERB	29	acl
39	una	DET	41	det
40	nueva	ADJ	41	amod
41	dinámica	NOUN	38	obj
42	para	ADP	43	mark
43	entrar	VERB	38	advcl
44	de	ADP	43	advmod
45	lleno	NOUN	44	fixed
46	en	ADP	48	case
47	la	DET	48	det
48	era	NOUN	43	obl
49	de	ADP	51	case
50	la	DET	51	det
51	información	NOUN	48	nmod
52	.	PUNCT	6	punct