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:
I believe ENE will continue to be range bound, but in case it is not, I don't want to forgo 50% of my option premium.
Postion	Tokenization
1	I
2	believe
3	ENE
4	will
5	continue
6	to
7	be
8	range
9	bound
10	,
11	but
12	in
13	case
14	it
15	is
16	not
17	,
18	I
19	don't
20	do
21	n't
22	want
23	to
24	forgo
25	50
26	%
27	of
28	my
29	option
30	premium
31	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	believe	VERB	0	root
3	ENE	PROPN	5	nsubj
4	will	AUX	5	aux
5	continue	VERB	2	ccomp
6	to	PART	9	mark
7	be	AUX	9	cop
8	range	NOUN	9	obl:npmod
9	bound	ADJ	5	xcomp
10	,	PUNCT	21	punct
11	but	CCONJ	21	cc
12	in	SCONJ	15	mark
13	case	NOUN	12	fixed
14	it	PRON	15	nsubj
15	is	VERB	21	advcl
16	not	PART	15	advmod
17	,	PUNCT	21	punct
18	I	PRON	21	nsubj
19	don't	_	None	_
20	do	AUX	21	aux
21	n't	PART	21	advmod
22	want	VERB	2	conj
23	to	PART	23	mark
24	forgo	VERB	21	xcomp
25	50	NUM	25	nummod
26	%	SYM	23	obj
27	of	ADP	29	case
28	my	PRON	29	nmod:poss
29	option	NOUN	29	compound
30	premium	NOUN	25	nmod
31	.	PUNCT	2	punct