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:
Hyginus no pudo hacer realidad un sueño, lo contrario que Edie Payne, ex atleta australiana que participó en los JJ.OO. de Amsterdam'28, y que fue la encargada de inaugurar la villa olímpica de Sydney.
Postion	Tokenization
1	Hyginus
2	no
3	pudo
4	hacer
5	realidad
6	un
7	sueño
8	,
9	lo
10	contrario
11	que
12	Edie
13	Payne
14	,
15	ex
16	atleta
17	australiana
18	que
19	participó
20	en
21	los
22	JJ.OO.
23	de
24	Amsterdam'28
25	,
26	y
27	que
28	fue
29	la
30	encargada
31	de
32	inaugurar
33	la
34	villa
35	olímpica
36	de
37	Sydney
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Hyginus	PROPN	4	nsubj
2	no	ADV	4	advmod
3	pudo	AUX	4	aux
4	hacer	VERB	0	root
5	realidad	NOUN	4	obj
6	un	DET	7	det
7	sueño	NOUN	4	obj
8	,	PUNCT	10	punct
9	lo	PRON	10	det
10	contrario	NOUN	4	obl
11	que	PRON	12	nmod
12	Edie	PROPN	10	nmod
13	Payne	PROPN	12	flat
14	,	PUNCT	16	punct
15	ex	ADJ	16	amod
16	atleta	NOUN	12	appos
17	australiana	ADJ	16	amod
18	que	PRON	19	nsubj
19	participó	VERB	12	acl
20	en	ADP	22	case
21	los	DET	22	det
22	JJ.OO.	PROPN	19	obj
23	de	ADP	24	case
24	Amsterdam'28	PROPN	22	nmod
25	,	PUNCT	30	punct
26	y	CCONJ	30	cc
27	que	PRON	30	nsubj
28	fue	AUX	30	cop
29	la	DET	30	det
30	encargada	NOUN	19	conj
31	de	ADP	32	mark
32	inaugurar	VERB	30	acl
33	la	DET	34	det
34	villa	NOUN	32	obj
35	olímpica	ADJ	34	amod
36	de	ADP	37	case
37	Sydney	PROPN	34	nmod
38	.	PUNCT	4	punct