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:
Los republicanos Bush y Alan Keyes, que reta aún simbólicamente al gobernador de Texas, se enfrentan hoy en primarias en Colorado y Utah, al igual que en "caucus" (asambleas populares) en Wyoming.
Postion	Tokenization
1	Los
2	republicanos
3	Bush
4	y
5	Alan
6	Keyes
7	,
8	que
9	reta
10	aún
11	simbólicamente
12	al
13	gobernador
14	de
15	Texas
16	,
17	se
18	enfrentan
19	hoy
20	en
21	primarias
22	en
23	Colorado
24	y
25	Utah
26	,
27	al
28	igual
29	que
30	en
31	"
32	caucus
33	"
34	(
35	asambleas
36	populares
37	)
38	en
39	Wyoming
40	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	republicanos	NOUN	18	nsubj
3	Bush	PROPN	2	appos
4	y	CCONJ	5	cc
5	Alan	PROPN	3	conj
6	Keyes	PROPN	5	flat
7	,	PUNCT	9	punct
8	que	PRON	9	nsubj
9	reta	VERB	5	acl
10	aún	ADV	9	advmod
11	simbólicamente	ADV	9	advmod
12	al	ADP	13	case
13	gobernador	NOUN	9	obj
14	de	ADP	15	case
15	Texas	PROPN	13	nmod
16	,	PUNCT	9	punct
17	se	PRON	18	obj
18	enfrentan	VERB	0	root
19	hoy	ADV	18	advmod
20	en	ADP	21	case
21	primarias	ADJ	18	advmod
22	en	ADP	23	case
23	Colorado	PROPN	18	obl
24	y	CCONJ	25	cc
25	Utah	PROPN	23	conj
26	,	PUNCT	32	punct
27	al	ADP	32	mark
28	igual	ADJ	27	fixed
29	que	SCONJ	27	fixed
30	en	ADP	32	case
31	"	PUNCT	32	punct
32	caucus	NOUN	18	obl
33	"	PUNCT	32	punct
34	(	PUNCT	35	punct
35	asambleas	NOUN	32	appos
36	populares	ADJ	35	amod
37	)	PUNCT	35	punct
38	en	ADP	39	case
39	Wyoming	PROPN	32	nmod
40	.	PUNCT	18	punct