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:
However, now that I have come to realize that I am going to owe the IRS $6,000+ despite doing exactly what Rod told me to do, I feel I have to voice my opinion.
Postion	Tokenization
1	However
2	,
3	now
4	that
5	I
6	have
7	come
8	to
9	realize
10	that
11	I
12	am
13	going
14	to
15	owe
16	the
17	IRS
18	$
19	6,000
20	+
21	despite
22	doing
23	exactly
24	what
25	Rod
26	told
27	me
28	to
29	do
30	,
31	I
32	feel
33	I
34	have
35	to
36	voice
37	my
38	opinion
39	.
Position	Tokenization	UPOS	Head	Deprel
1	However	ADV	3	advmod
2	,	PUNCT	32	punct
3	now	ADV	32	advmod
4	that	SCONJ	7	mark
5	I	PRON	7	nsubj
6	have	AUX	7	aux
7	come	VERB	3	advcl
8	to	PART	9	mark
9	realize	VERB	7	xcomp
10	that	SCONJ	13	mark
11	I	PRON	13	nsubj
12	am	AUX	13	aux
13	going	VERB	9	ccomp
14	to	PART	15	mark
15	owe	VERB	13	xcomp
16	the	DET	17	det
17	IRS	PROPN	15	iobj
18	$	SYM	15	obj
19	6,000	NUM	18	compound
20	+	SYM	18	advmod
21	despite	SCONJ	22	mark
22	doing	VERB	15	advcl
23	exactly	ADV	24	advmod
24	what	PRON	22	obj
25	Rod	PROPN	26	nsubj
26	told	VERB	24	acl:relcl
27	me	PRON	26	obj
28	to	PART	29	mark
29	do	VERB	26	xcomp
30	,	PUNCT	32	punct
31	I	PRON	32	nsubj
32	feel	VERB	0	root
33	I	PRON	34	nsubj
34	have	VERB	32	ccomp
35	to	PART	36	mark
36	voice	VERB	34	xcomp
37	my	PRON	38	nmod:poss
38	opinion	NOUN	36	obj
39	.	PUNCT	32	punct