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:
Al ciudadano de Michigan le gusta votar al candidato que mejor representa el "anti-establishment" (el poder establecido), en una especie de reto como el de David contra Goliat, y que ya ha contribuido a la victoria de más de un presidente.
Postion	Tokenization
1	Al
2	ciudadano
3	de
4	Michigan
5	le
6	gusta
7	votar
8	al
9	candidato
10	que
11	mejor
12	representa
13	el
14	"
15	anti-establishment
16	"
17	(
18	el
19	poder
20	establecido
21	)
22	,
23	en
24	una
25	especie
26	de
27	reto
28	como
29	el
30	de
31	David
32	contra
33	Goliat
34	,
35	y
36	que
37	ya
38	ha
39	contribuido
40	a
41	la
42	victoria
43	de
44	más
45	de
46	un
47	presidente
48	.
Position	Tokenization	UPOS	Head	Deprel
1	Al	ADP	2	case
2	ciudadano	NOUN	6	obj
3	de	ADP	4	case
4	Michigan	PROPN	2	nmod
5	le	PRON	6	obj
6	gusta	VERB	0	root
7	votar	VERB	6	csubj
8	al	ADP	9	case
9	candidato	NOUN	7	obj
10	que	PRON	12	nsubj
11	mejor	ADV	12	advmod
12	representa	VERB	9	acl
13	el	DET	15	det
14	"	PUNCT	15	punct
15	anti-establishment	NOUN	12	obj
16	"	PUNCT	15	punct
17	(	PUNCT	19	punct
18	el	DET	19	det
19	poder	NOUN	15	appos
20	establecido	ADJ	19	amod
21	)	PUNCT	19	punct
22	,	PUNCT	25	punct
23	en	ADP	25	case
24	una	DET	25	det
25	especie	NOUN	6	obl
26	de	ADP	27	case
27	reto	NOUN	25	nmod
28	como	SCONJ	29	mark
29	el	DET	27	det
30	de	ADP	29	case
31	David	PROPN	29	nmod
32	contra	ADP	33	case
33	Goliat	PROPN	31	nmod
34	,	PUNCT	39	punct
35	y	CCONJ	39	advmod
36	que	PRON	39	nsubj
37	ya	ADV	39	advmod
38	ha	AUX	39	aux
39	contribuido	VERB	27	acl
40	a	ADP	42	case
41	la	DET	42	det
42	victoria	NOUN	39	obj
43	de	ADP	47	case
44	más	ADV	46	advmod
45	de	ADP	46	case
46	un	DET	47	det
47	presidente	NOUN	42	nmod
48	.	PUNCT	6	punct