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:
okay, I dont have a review, but why in the hell would you name your business something that has the initials KKK....is there something behind the scenes at this place?
Postion	Tokenization
1	okay
2	,
3	I
4	dont
5	do
6	nt
7	have
8	a
9	review
10	,
11	but
12	why
13	in
14	the
15	hell
16	would
17	you
18	name
19	your
20	business
21	something
22	that
23	has
24	the
25	initials
26	KKK
27	....
28	is
29	there
30	something
31	behind
32	the
33	scenes
34	at
35	this
36	place
37	?
Position	Tokenization	UPOS	Head	Deprel
1	okay	INTJ	6	discourse
2	,	PUNCT	6	punct
3	I	PRON	6	nsubj
4	dont	_	None	_
5	do	AUX	6	aux
6	nt	PART	6	advmod
7	have	VERB	0	root
8	a	DET	8	det
9	review	NOUN	6	obj
10	,	PUNCT	17	punct
11	but	CCONJ	17	cc
12	why	ADV	17	advmod
13	in	ADP	14	case
14	the	DET	14	det
15	hell	NOUN	11	obl
16	would	AUX	17	aux
17	you	PRON	17	nsubj
18	name	VERB	6	conj
19	your	PRON	19	nmod:poss
20	business	NOUN	17	iobj
21	something	PRON	17	obj
22	that	PRON	22	nsubj
23	has	VERB	20	acl:relcl
24	the	DET	24	det
25	initials	NOUN	22	obj
26	KKK	PROPN	24	appos
27	....	PUNCT	6	punct
28	is	VERB	6	parataxis
29	there	PRON	27	expl
30	something	PRON	27	nsubj
31	behind	ADP	32	case
32	the	DET	32	det
33	scenes	NOUN	29	nmod
34	at	ADP	35	case
35	this	DET	35	det
36	place	NOUN	27	obl
37	?	PUNCT	6	punct