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:
"A pesar de todo esto que ha pasado, y aún cuando no hubiera ocurrido, mi objetivo en Sydney hubiera sido el mismo, o sea, el de ganar la medalla de oro", afirmó a Efe en una entrevista en su residencia de la localidad habanera de Miramar.
Postion	Tokenization
1	"
2	A
3	pesar
4	de
5	todo
6	esto
7	que
8	ha
9	pasado
10	,
11	y
12	aún
13	cuando
14	no
15	hubiera
16	ocurrido
17	,
18	mi
19	objetivo
20	en
21	Sydney
22	hubiera
23	sido
24	el
25	mismo
26	,
27	o
28	sea
29	,
30	el
31	de
32	ganar
33	la
34	medalla
35	de
36	oro
37	"
38	,
39	afirmó
40	a
41	Efe
42	en
43	una
44	entrevista
45	en
46	su
47	residencia
48	de
49	la
50	localidad
51	habanera
52	de
53	Miramar
54	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	2	punct
2	A	ADP	24	advmod
3	pesar	NOUN	2	fixed
4	de	ADP	2	fixed
5	todo	DET	6	det
6	esto	PRON	2	obl
7	que	PRON	9	nsubj
8	ha	AUX	9	aux
9	pasado	VERB	6	acl
10	,	PUNCT	2	punct
11	y	CCONJ	16	cc
12	aún	NOUN	16	advmod
13	cuando	ADV	12	fixed
14	no	ADV	16	advmod
15	hubiera	AUX	16	aux
16	ocurrido	VERB	2	conj
17	,	PUNCT	2	punct
18	mi	DET	19	det
19	objetivo	NOUN	24	nsubj
20	en	ADP	21	case
21	Sydney	PROPN	24	obl
22	hubiera	AUX	24	aux
23	sido	AUX	24	cop
24	el	DET	39	ccomp
25	mismo	PRON	24	det
26	,	PUNCT	30	punct
27	o	CCONJ	30	cc
28	sea	AUX	30	cop
29	,	PUNCT	30	punct
30	el	DET	24	conj
31	de	ADP	32	mark
32	ganar	VERB	30	acl
33	la	DET	34	det
34	medalla	NOUN	32	obj
35	de	ADP	36	case
36	oro	NOUN	34	nmod
37	"	PUNCT	24	punct
38	,	PUNCT	24	punct
39	afirmó	VERB	0	root
40	a	ADP	41	case
41	Efe	PROPN	39	iobj
42	en	ADP	44	case
43	una	DET	44	det
44	entrevista	NOUN	39	obl
45	en	ADP	47	case
46	su	DET	47	det
47	residencia	NOUN	39	obl
48	de	ADP	50	case
49	la	DET	50	det
50	localidad	NOUN	47	nmod
51	habanera	ADJ	50	amod
52	de	ADP	53	case
53	Miramar	PROPN	50	nmod
54	.	PUNCT	39	punct