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:
Pau Willoughby, responsable del transporte olímpico reconoció que el sábado "76.000 personas acudieron al Parque Olímpico y el domingo la cantidad va a ser superior.
Postion	Tokenization
1	Pau
2	Willoughby
3	,
4	responsable
5	del
6	transporte
7	olímpico
8	reconoció
9	que
10	el
11	sábado
12	"
13	76.000
14	personas
15	acudieron
16	al
17	Parque
18	Olímpico
19	y
20	el
21	domingo
22	la
23	cantidad
24	va
25	a
26	ser
27	superior
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Pau	PROPN	8	nsubj
2	Willoughby	PROPN	1	flat
3	,	PUNCT	4	punct
4	responsable	NOUN	1	appos
5	del	ADP	6	case
6	transporte	NOUN	4	nmod
7	olímpico	ADJ	6	amod
8	reconoció	VERB	0	root
9	que	SCONJ	15	mark
10	el	DET	11	det
11	sábado	NOUN	15	obl
12	"	PUNCT	15	punct
13	76.000	NUM	14	nummod
14	personas	NOUN	15	nsubj
15	acudieron	VERB	8	ccomp
16	al	ADP	17	case
17	Parque	PROPN	15	obl
18	Olímpico	PROPN	17	flat
19	y	CCONJ	27	cc
20	el	DET	21	det
21	domingo	NOUN	27	obl
22	la	DET	23	det
23	cantidad	NOUN	27	nsubj
24	va	AUX	27	aux
25	a	ADP	27	case
26	ser	AUX	27	cop
27	superior	ADJ	15	conj
28	.	PUNCT	8	punct