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:
Para este nuevo cometido, Comediants cuentan con los elementos que mejor manejan: imaginación, espectacularidad en la puesta en escena, escenarios poco habituales, percusión, fuego, acrobacia y circo.
Postion	Tokenization
1	Para
2	este
3	nuevo
4	cometido
5	,
6	Comediants
7	cuentan
8	con
9	los
10	elementos
11	que
12	mejor
13	manejan
14	:
15	imaginación
16	,
17	espectacularidad
18	en
19	la
20	puesta
21	en
22	escena
23	,
24	escenarios
25	poco
26	habituales
27	,
28	percusión
29	,
30	fuego
31	,
32	acrobacia
33	y
34	circo
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Para	ADP	4	case
2	este	DET	4	det
3	nuevo	ADJ	4	amod
4	cometido	NOUN	7	obl
5	,	PUNCT	4	punct
6	Comediants	PROPN	7	nsubj
7	cuentan	VERB	0	root
8	con	ADP	10	case
9	los	DET	10	det
10	elementos	NOUN	7	obj
11	que	PRON	13	obj
12	mejor	ADV	13	advmod
13	manejan	VERB	10	acl
14	:	PUNCT	15	punct
15	imaginación	NOUN	10	appos
16	,	PUNCT	17	punct
17	espectacularidad	NOUN	15	conj
18	en	ADP	20	case
19	la	DET	20	det
20	puesta	NOUN	17	nmod
21	en	ADP	22	case
22	escena	NOUN	20	compound
23	,	PUNCT	24	punct
24	escenarios	NOUN	15	conj
25	poco	ADV	26	advmod
26	habituales	ADJ	24	amod
27	,	PUNCT	28	punct
28	percusión	NOUN	15	conj
29	,	PUNCT	30	punct
30	fuego	NOUN	15	conj
31	,	PUNCT	32	punct
32	acrobacia	NOUN	15	conj
33	y	CCONJ	34	cc
34	circo	NOUN	15	conj
35	.	PUNCT	7	punct