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:
Ausente la española de origen cubano Niurka Montalvo, actual campeona mundial, Jones y May intentarán demostrar al mundo quién es la que llega más lejos de un salto.
Postion	Tokenization
1	Ausente
2	la
3	española
4	de
5	origen
6	cubano
7	Niurka
8	Montalvo
9	,
10	actual
11	campeona
12	mundial
13	,
14	Jones
15	y
16	May
17	intentarán
18	demostrar
19	al
20	mundo
21	quién
22	es
23	la
24	que
25	llega
26	más
27	lejos
28	de
29	un
30	salto
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Ausente	ADJ	3	amod
2	la	DET	3	det
3	española	NOUN	17	obl
4	de	ADP	5	case
5	origen	NOUN	3	nmod
6	cubano	ADJ	5	amod
7	Niurka	PROPN	3	appos
8	Montalvo	PROPN	7	flat
9	,	PUNCT	11	punct
10	actual	ADJ	11	amod
11	campeona	NOUN	3	appos
12	mundial	ADJ	11	amod
13	,	PUNCT	11	punct
14	Jones	PROPN	17	nsubj
15	y	CCONJ	16	cc
16	May	PROPN	14	conj
17	intentarán	VERB	0	root
18	demostrar	VERB	17	xcomp
19	al	ADP	20	case
20	mundo	NOUN	18	iobj
21	quién	PRON	23	nsubj
22	es	AUX	23	cop
23	la	DET	18	ccomp
24	que	PRON	25	nsubj
25	llega	VERB	23	acl
26	más	ADV	27	advmod
27	lejos	ADV	25	advmod
28	de	ADP	30	case
29	un	DET	30	det
30	salto	NOUN	25	obl
31	.	PUNCT	17	punct