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:
"Realizó funciones de acompañante de honor del equipo nacional olímpico de Australia durante los Juegos de Barcelona, lo que no tiene nada que ver con la candidatura", asegura el documento.
Postion	Tokenization
1	"
2	Realizó
3	funciones
4	de
5	acompañante
6	de
7	honor
8	del
9	equipo
10	nacional
11	olímpico
12	de
13	Australia
14	durante
15	los
16	Juegos
17	de
18	Barcelona
19	,
20	lo
21	que
22	no
23	tiene
24	nada
25	que
26	ver
27	con
28	la
29	candidatura
30	"
31	,
32	asegura
33	el
34	documento
35	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	2	punct
2	Realizó	VERB	32	ccomp
3	funciones	NOUN	2	obj
4	de	ADP	5	case
5	acompañante	NOUN	3	nmod
6	de	ADP	7	case
7	honor	NOUN	5	nmod
8	del	ADP	9	case
9	equipo	NOUN	5	nmod
10	nacional	ADJ	9	amod
11	olímpico	ADJ	9	amod
12	de	ADP	13	case
13	Australia	PROPN	9	nmod
14	durante	ADP	16	case
15	los	DET	16	det
16	Juegos	PROPN	2	obl
17	de	ADP	18	case
18	Barcelona	PROPN	16	flat
19	,	PUNCT	23	punct
20	lo	PRON	23	det
21	que	PRON	23	nsubj
22	no	ADV	23	advmod
23	tiene	VERB	2	advcl
24	nada	PRON	23	obl
25	que	SCONJ	26	mark
26	ver	VERB	23	xcomp
27	con	ADP	29	case
28	la	DET	29	det
29	candidatura	NOUN	23	obj
30	"	PUNCT	2	punct
31	,	PUNCT	2	punct
32	asegura	VERB	0	root
33	el	DET	34	det
34	documento	NOUN	32	nsubj
35	.	PUNCT	32	punct