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:
El Laboratorio del circo centrará la atención del domingo con los pases de Leo Bassi, Joan Font, Tortell Poltrona, Monti, Rumbaqueterumba, y Mau Mau.
Postion	Tokenization
1	El
2	Laboratorio
3	del
4	circo
5	centrará
6	la
7	atención
8	del
9	domingo
10	con
11	los
12	pases
13	de
14	Leo
15	Bassi
16	,
17	Joan
18	Font
19	,
20	Tortell
21	Poltrona
22	,
23	Monti
24	,
25	Rumbaqueterumba
26	,
27	y
28	Mau
29	Mau
30	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Laboratorio	PROPN	5	nsubj
3	del	ADP	4	case
4	circo	PROPN	1	flat
5	centrará	VERB	0	root
6	la	DET	7	det
7	atención	NOUN	5	obj
8	del	ADP	9	case
9	domingo	NOUN	7	nmod
10	con	ADP	12	case
11	los	DET	12	det
12	pases	NOUN	5	obl
13	de	ADP	14	case
14	Leo	PROPN	12	nmod
15	Bassi	PROPN	14	flat
16	,	PUNCT	17	punct
17	Joan	PROPN	14	conj
18	Font	PROPN	17	flat
19	,	PUNCT	20	punct
20	Tortell	PROPN	14	conj
21	Poltrona	PROPN	20	flat
22	,	PUNCT	23	punct
23	Monti	PROPN	14	conj
24	,	PUNCT	25	punct
25	Rumbaqueterumba	PROPN	14	conj
26	,	PUNCT	28	punct
27	y	CCONJ	28	cc
28	Mau	PROPN	14	conj
29	Mau	PROPN	28	flat
30	.	PUNCT	5	punct