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:
What volatilities are you using to value the options - monthly volatilities or intra-day volatilities or a blend of the two (if blending please show me what formula you using to blend the two vols)?
Postion	Tokenization
1	What
2	volatilities
3	are
4	you
5	using
6	to
7	value
8	the
9	options
10	-
11	monthly
12	volatilities
13	or
14	intra-day
15	volatilities
16	or
17	a
18	blend
19	of
20	the
21	two
22	(
23	if
24	blending
25	please
26	show
27	me
28	what
29	formula
30	you
31	using
32	to
33	blend
34	the
35	two
36	vols
37	)
38	?
Position	Tokenization	UPOS	Head	Deprel
1	What	DET	2	det
2	volatilities	NOUN	5	obj
3	are	AUX	5	aux
4	you	PRON	5	nsubj
5	using	VERB	0	root
6	to	PART	7	mark
7	value	VERB	5	advcl
8	the	DET	9	det
9	options	NOUN	7	obj
10	-	PUNCT	5	punct
11	monthly	ADJ	12	amod
12	volatilities	NOUN	2	appos
13	or	CCONJ	15	cc
14	intra-day	ADJ	15	amod
15	volatilities	NOUN	12	conj
16	or	CCONJ	18	cc
17	a	DET	18	det
18	blend	NOUN	12	conj
19	of	ADP	21	case
20	the	DET	21	det
21	two	NUM	18	nmod
22	(	PUNCT	26	punct
23	if	SCONJ	24	mark
24	blending	VERB	26	advcl
25	please	INTJ	26	discourse
26	show	VERB	5	parataxis
27	me	PRON	26	iobj
28	what	DET	29	det
29	formula	NOUN	31	obj
30	you	PRON	31	nsubj
31	using	VERB	26	ccomp
32	to	PART	33	mark
33	blend	VERB	31	advcl
34	the	DET	36	det
35	two	NUM	36	nummod
36	vols	NOUN	33	obj
37	)	PUNCT	26	punct
38	?	PUNCT	5	punct