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:
El juez Duane Ford con una puntuación de 114-113 fue el único que vio ganador a Barrera, mientras que Carol Castellano favoreció 114-113 a Morales y Dalby Shirley lo hizo con 115-112, a pesar que le dieron como perdedor 8-10 en el último asalto.
Postion	Tokenization
1	El
2	juez
3	Duane
4	Ford
5	con
6	una
7	puntuación
8	de
9	114-113
10	fue
11	el
12	único
13	que
14	vio
15	ganador
16	a
17	Barrera
18	,
19	mientras
20	que
21	Carol
22	Castellano
23	favoreció
24	114-113
25	a
26	Morales
27	y
28	Dalby
29	Shirley
30	lo
31	hizo
32	con
33	115-112
34	,
35	a
36	pesar
37	que
38	le
39	dieron
40	como
41	perdedor
42	8-10
43	en
44	el
45	último
46	asalto
47	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	juez	NOUN	10	nsubj
3	Duane	PROPN	2	appos
4	Ford	PROPN	3	flat
5	con	ADP	7	case
6	una	DET	7	det
7	puntuación	NOUN	10	obl
8	de	ADP	9	case
9	114-113	NUM	7	nummod
10	fue	AUX	19	parataxis
11	el	DET	14	det
12	único	ADJ	14	amod
13	que	PRON	14	nsubj
14	vio	VERB	10	ccomp
15	ganador	NOUN	14	obj
16	a	ADP	17	case
17	Barrera	PROPN	14	obj
18	,	PUNCT	19	punct
19	mientras	CCONJ	0	root
20	que	SCONJ	19	fixed
21	Carol	PROPN	23	nsubj
22	Castellano	PROPN	21	flat
23	favoreció	VERB	19	parataxis
24	114-113	NUM	23	obl
25	a	ADP	26	case
26	Morales	PROPN	23	obj
27	y	CCONJ	31	cc
28	Dalby	PROPN	31	nsubj
29	Shirley	PROPN	28	flat
30	lo	PRON	31	obj
31	hizo	VERB	23	conj
32	con	ADP	33	case
33	115-112	NUM	31	obl
34	,	PUNCT	39	punct
35	a	ADP	39	mark
36	pesar	NOUN	35	fixed
37	que	SCONJ	35	fixed
38	le	PRON	39	obj
39	dieron	VERB	23	advcl
40	como	SCONJ	41	mark
41	perdedor	NOUN	39	iobj
42	8-10	NUM	39	obl
43	en	ADP	46	case
44	el	DET	46	det
45	último	ADJ	46	amod
46	asalto	NOUN	39	obl
47	.	PUNCT	19	punct