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 púgil estadounidense Will "Steel" Grigsby conquistó esta tarde la corona vacante junior del peso mosca de la Organización Mundial de Boxeo (OMB) al vencer el puertorriqueño Nelson Dieppa por decisión unánime.
Postion	Tokenization
1	El
2	púgil
3	estadounidense
4	Will
5	"Steel"
6	Grigsby
7	conquistó
8	esta
9	tarde
10	la
11	corona
12	vacante
13	junior
14	del
15	peso
16	mosca
17	de
18	la
19	Organización
20	Mundial
21	de
22	Boxeo
23	(
24	OMB
25	)
26	al
27	vencer
28	el
29	puertorriqueño
30	Nelson
31	Dieppa
32	por
33	decisión
34	unánime
35	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	púgil	NOUN	7	nsubj
3	estadounidense	ADJ	2	amod
4	Will	PROPN	2	appos
5	"Steel"	PROPN	4	flat
6	Grigsby	PROPN	4	flat
7	conquistó	VERB	0	root
8	esta	DET	9	det
9	tarde	NOUN	7	obl
10	la	DET	11	det
11	corona	NOUN	7	obj
12	vacante	ADJ	11	amod
13	junior	ADJ	11	amod
14	del	ADP	15	case
15	peso	NOUN	11	nmod
16	mosca	NOUN	15	nmod
17	de	ADP	19	case
18	la	DET	19	det
19	Organización	PROPN	11	nmod
20	Mundial	PROPN	19	flat
21	de	ADP	22	case
22	Boxeo	PROPN	19	flat
23	(	PUNCT	24	punct
24	OMB	PROPN	19	flat
25	)	PUNCT	24	punct
26	al	ADP	27	mark
27	vencer	VERB	7	advcl
28	el	DET	29	det
29	puertorriqueño	NOUN	27	nsubj
30	Nelson	PROPN	29	appos
31	Dieppa	PROPN	30	flat
32	por	ADP	33	case
33	decisión	NOUN	27	obl
34	unánime	ADJ	33	amod
35	.	PUNCT	7	punct