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 Michigan, el gobernador de Texas ha preferido concentrar sus ataques en el presidente de EEUU, Bill Clinton, y en el vicepresidente y candidato demócrata, Al Gore, insistiendo en que "quedan 260 días para el fin de la era Clinton-Gore", mientras que a McCain se refirió con un "espero que se haya aprendido la lección" en Carolina del Sur.
Postion	Tokenization
1	En
2	Michigan
3	,
4	el
5	gobernador
6	de
7	Texas
8	ha
9	preferido
10	concentrar
11	sus
12	ataques
13	en
14	el
15	presidente
16	de
17	EEUU
18	,
19	Bill
20	Clinton
21	,
22	y
23	en
24	el
25	vicepresidente
26	y
27	candidato
28	demócrata
29	,
30	Al
31	Gore
32	,
33	insistiendo
34	en
35	que
36	"
37	quedan
38	260
39	días
40	para
41	el
42	fin
43	de
44	la
45	era
46	Clinton-Gore
47	"
48	,
49	mientras
50	que
51	a
52	McCain
53	se
54	refirió
55	con
56	un
57	"
58	espero
59	que
60	se
61	haya
62	aprendido
63	la
64	lección
65	"
66	en
67	Carolina
68	del
69	Sur
70	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	2	case
2	Michigan	PROPN	9	obl
3	,	PUNCT	2	punct
4	el	DET	5	det
5	gobernador	NOUN	9	nsubj
6	de	ADP	7	case
7	Texas	PROPN	5	nmod
8	ha	AUX	9	aux
9	preferido	VERB	49	parataxis
10	concentrar	VERB	9	ccomp
11	sus	DET	12	det
12	ataques	NOUN	10	iobj
13	en	ADP	15	case
14	el	DET	15	det
15	presidente	NOUN	10	obl
16	de	ADP	17	case
17	EEUU	PROPN	15	nmod
18	,	PUNCT	19	punct
19	Bill	PROPN	15	appos
20	Clinton	PROPN	19	flat
21	,	PUNCT	19	punct
22	y	CCONJ	25	cc
23	en	ADP	25	case
24	el	DET	25	det
25	vicepresidente	NOUN	15	conj
26	y	CCONJ	27	cc
27	candidato	NOUN	25	conj
28	demócrata	ADJ	27	amod
29	,	PUNCT	31	punct
30	Al	ADP	31	case
31	Gore	PROPN	25	appos
32	,	PUNCT	15	punct
33	insistiendo	VERB	10	xcomp
34	en	ADP	37	mark
35	que	SCONJ	37	mark
36	"	PUNCT	37	punct
37	quedan	VERB	33	ccomp
38	260	NUM	39	nummod
39	días	NOUN	37	nsubj
40	para	ADP	42	case
41	el	DET	42	det
42	fin	NOUN	39	nmod
43	de	ADP	45	case
44	la	DET	45	det
45	era	NOUN	42	nmod
46	Clinton-Gore	PROPN	45	nmod
47	"	PUNCT	49	punct
48	,	PUNCT	49	punct
49	mientras	CCONJ	0	root
50	que	SCONJ	49	fixed
51	a	ADP	52	case
52	McCain	PROPN	54	obj
53	se	PRON	54	expl:pv
54	refirió	VERB	49	parataxis
55	con	ADP	58	mark
56	un	DET	58	det
57	"	PUNCT	58	punct
58	espero	VERB	54	advcl
59	que	SCONJ	62	mark
60	se	PRON	62	expl:pass
61	haya	AUX	62	aux
62	aprendido	VERB	58	ccomp
63	la	DET	64	det
64	lección	NOUN	62	obj
65	"	PUNCT	58	punct
66	en	ADP	67	case
67	Carolina	PROPN	54	obl
68	del	ADP	69	case
69	Sur	PROPN	67	flat
70	.	PUNCT	49	punct