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:
"Dije antes de venir, que lo que no me quería perder eran dos cosas: estar en la ceremonia inaugural, y creo que la pista de atletismo ni la pisé porque iba como en una nube; y otra, la sensación de estar subido en el podio", destacó.
Postion	Tokenization
1	"
2	Dije
3	antes
4	de
5	venir
6	,
7	que
8	lo
9	que
10	no
11	me
12	quería
13	perder
14	eran
15	dos
16	cosas
17	:
18	estar
19	en
20	la
21	ceremonia
22	inaugural
23	,
24	y
25	creo
26	que
27	la
28	pista
29	de
30	atletismo
31	ni
32	la
33	pisé
34	porque
35	iba
36	como
37	en
38	una
39	nube
40	;
41	y
42	otra
43	,
44	la
45	sensación
46	de
47	estar
48	subido
49	en
50	el
51	podio
52	"
53	,
54	destacó
55	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	2	punct
2	Dije	VERB	54	ccomp
3	antes	ADV	2	advmod
4	de	ADP	5	mark
5	venir	VERB	3	advcl
6	,	PUNCT	3	punct
7	que	SCONJ	16	mark
8	lo	PRON	12	det
9	que	PRON	12	iobj
10	no	ADV	12	advmod
11	me	PRON	12	iobj
12	quería	VERB	16	csubj
13	perder	VERB	12	xcomp
14	eran	AUX	16	cop
15	dos	NUM	16	nummod
16	cosas	NOUN	2	ccomp
17	:	PUNCT	18	punct
18	estar	VERB	16	appos
19	en	ADP	21	case
20	la	DET	21	det
21	ceremonia	NOUN	18	obl
22	inaugural	ADJ	21	amod
23	,	PUNCT	25	punct
24	y	CCONJ	25	advmod
25	creo	VERB	18	parataxis
26	que	SCONJ	33	mark
27	la	DET	28	det
28	pista	NOUN	33	iobj
29	de	ADP	30	case
30	atletismo	NOUN	28	nmod
31	ni	ADV	33	advmod
32	la	PRON	33	obj
33	pisé	VERB	25	ccomp
34	porque	SCONJ	35	mark
35	iba	VERB	33	advcl
36	como	SCONJ	39	mark
37	en	ADP	39	case
38	una	DET	39	det
39	nube	NOUN	35	obj
40	;	PUNCT	18	punct
41	y	CCONJ	42	cc
42	otra	PRON	18	conj
43	,	PUNCT	45	punct
44	la	DET	45	det
45	sensación	NOUN	42	appos
46	de	ADP	45	nmod
47	estar	AUX	48	aux
48	subido	ADJ	46	advmod
49	en	ADP	51	case
50	el	DET	51	det
51	podio	NOUN	48	obl
52	"	PUNCT	2	punct
53	,	PUNCT	2	punct
54	destacó	VERB	0	root
55	.	PUNCT	54	punct