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:
The cast members really have to have incredibly powerful voices to pull off a few of the most poignant numbers ( I think this could be your true calling).
Postion	Tokenization
1	The
2	cast
3	members
4	really
5	have
6	to
7	have
8	incredibly
9	powerful
10	voices
11	to
12	pull
13	off
14	a
15	few
16	of
17	the
18	most
19	poignant
20	numbers
21	(
22	I
23	think
24	this
25	could
26	be
27	your
28	true
29	calling
30	)
31	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	3	det
2	cast	NOUN	3	compound
3	members	NOUN	5	nsubj
4	really	ADV	5	advmod
5	have	VERB	0	root
6	to	PART	7	mark
7	have	VERB	5	xcomp
8	incredibly	ADV	10	advmod
9	powerful	ADJ	10	amod
10	voices	NOUN	7	obj
11	to	PART	12	mark
12	pull	VERB	7	advcl
13	off	ADP	12	compound:prt
14	a	DET	15	det
15	few	NOUN	12	obj
16	of	ADP	20	case
17	the	DET	20	det
18	most	ADV	19	advmod
19	poignant	ADJ	20	amod
20	numbers	NOUN	15	nmod
21	(	PUNCT	23	punct
22	I	PRON	23	nsubj
23	think	VERB	5	parataxis
24	this	PRON	29	nsubj
25	could	AUX	29	aux
26	be	AUX	29	cop
27	your	PRON	29	nmod:poss
28	true	ADJ	29	amod
29	calling	NOUN	23	ccomp
30	)	PUNCT	23	punct
31	.	PUNCT	5	punct