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:
Una encuesta difundida por el diario "Detroit News" da al senador por Arizona el 40 por ciento de los votos de este estado, mientras que el gobernador de Texas le pisa los talones con el 38 por ciento.
Postion	Tokenization
1	Una
2	encuesta
3	difundida
4	por
5	el
6	diario
7	"
8	Detroit
9	News
10	"
11	da
12	al
13	senador
14	por
15	Arizona
16	el
17	40
18	por
19	ciento
20	de
21	los
22	votos
23	de
24	este
25	estado
26	,
27	mientras
28	que
29	el
30	gobernador
31	de
32	Texas
33	le
34	pisa
35	los
36	talones
37	con
38	el
39	38
40	por
41	ciento
42	.
Position	Tokenization	UPOS	Head	Deprel
1	Una	DET	2	det
2	encuesta	NOUN	11	nsubj
3	difundida	ADJ	2	amod
4	por	ADP	6	case
5	el	DET	6	det
6	diario	NOUN	3	obj
7	"	PUNCT	8	punct
8	Detroit	PROPN	6	appos
9	News	PROPN	8	flat
10	"	PUNCT	8	punct
11	da	VERB	27	parataxis
12	al	ADP	13	case
13	senador	NOUN	11	obj
14	por	ADP	15	case
15	Arizona	PROPN	13	nmod
16	el	DET	17	det
17	40	NUM	11	obj
18	por	ADP	19	case
19	ciento	NUM	17	compound
20	de	ADP	22	case
21	los	DET	22	det
22	votos	NOUN	17	nmod
23	de	ADP	25	case
24	este	DET	25	det
25	estado	NOUN	22	nmod
26	,	PUNCT	27	punct
27	mientras	CCONJ	0	root
28	que	SCONJ	27	fixed
29	el	DET	30	det
30	gobernador	NOUN	34	nsubj
31	de	ADP	32	case
32	Texas	PROPN	30	nmod
33	le	PRON	34	obj
34	pisa	VERB	27	parataxis
35	los	DET	36	det
36	talones	NOUN	34	obj
37	con	ADP	39	case
38	el	DET	39	det
39	38	NUM	34	obl
40	por	ADP	41	case
41	ciento	NUM	39	compound
42	.	PUNCT	27	punct