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:
Michigan, un estado industrial, con 6,7 millones de personas registradas para el voto, es política y culturalmente más variado que el mayoritariamente blanco y conservador de Carolina del Sur, y es, además, un estado en el que los candidatos con madera de independientes se han crecido ante la dificultad de las campañas.
Postion	Tokenization
1	Michigan
2	,
3	un
4	estado
5	industrial
6	,
7	con
8	6,7
9	millones
10	de
11	personas
12	registradas
13	para
14	el
15	voto
16	,
17	es
18	política
19	y
20	culturalmente
21	más
22	variado
23	que
24	el
25	mayoritariamente
26	blanco
27	y
28	conservador
29	de
30	Carolina
31	del
32	Sur
33	,
34	y
35	es
36	,
37	además
38	,
39	un
40	estado
41	en
42	el
43	que
44	los
45	candidatos
46	con
47	madera
48	de
49	independientes
50	se
51	han
52	crecido
53	ante
54	la
55	dificultad
56	de
57	las
58	campañas
59	.
Position	Tokenization	UPOS	Head	Deprel
1	Michigan	PROPN	22	nsubj
2	,	PUNCT	4	punct
3	un	DET	4	det
4	estado	NOUN	1	appos
5	industrial	ADJ	4	amod
6	,	PUNCT	9	punct
7	con	ADP	9	case
8	6,7	NUM	9	nummod
9	millones	NOUN	4	nmod
10	de	ADP	11	case
11	personas	NOUN	9	nmod
12	registradas	ADJ	11	amod
13	para	ADP	15	case
14	el	DET	15	det
15	voto	NOUN	12	obl
16	,	PUNCT	9	punct
17	es	AUX	22	cop
18	política	ADV	22	advmod
19	y	CCONJ	20	cc
20	culturalmente	ADV	18	conj
21	más	ADV	22	advmod
22	variado	ADJ	0	root
23	que	SCONJ	26	mark
24	el	DET	26	det
25	mayoritariamente	ADV	26	advmod
26	blanco	ADJ	22	advmod
27	y	CCONJ	28	cc
28	conservador	ADJ	26	conj
29	de	ADP	30	case
30	Carolina	PROPN	26	nmod
31	del	ADP	32	case
32	Sur	PROPN	30	flat
33	,	PUNCT	40	punct
34	y	CCONJ	40	cc
35	es	AUX	40	cop
36	,	PUNCT	37	punct
37	además	ADV	40	advmod
38	,	PUNCT	37	punct
39	un	DET	40	det
40	estado	NOUN	22	conj
41	en	ADP	43	case
42	el	DET	43	det
43	que	PRON	52	obl
44	los	DET	45	det
45	candidatos	NOUN	52	nsubj
46	con	ADP	47	case
47	madera	NOUN	45	nmod
48	de	ADP	49	case
49	independientes	NOUN	47	nmod
50	se	PRON	52	expl:pv
51	han	AUX	52	aux
52	crecido	VERB	40	acl
53	ante	ADP	55	case
54	la	DET	55	det
55	dificultad	NOUN	52	obl
56	de	ADP	58	case
57	las	DET	58	det
58	campañas	NOUN	55	nmod
59	.	PUNCT	22	punct