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 know its in the wrong catagory, but still, I wrote this question for a reason, not for you to critisize me.
Postion	Tokenization
1	I
2	know
3	its
4	it
5	s
6	in
7	the
8	wrong
9	catagory
10	,
11	but
12	still
13	,
14	I
15	wrote
16	this
17	question
18	for
19	a
20	reason
21	,
22	not
23	for
24	you
25	to
26	critisize
27	me
28	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	know	VERB	0	root
3	its	_	None	_
4	it	PRON	8	nsubj
5	s	AUX	8	cop
6	in	ADP	8	case
7	the	DET	8	det
8	wrong	ADJ	8	amod
9	catagory	NOUN	2	ccomp
10	,	PUNCT	14	punct
11	but	CCONJ	14	cc
12	still	ADV	14	advmod
13	,	PUNCT	14	punct
14	I	PRON	14	nsubj
15	wrote	VERB	2	conj
16	this	DET	16	det
17	question	NOUN	14	obj
18	for	ADP	19	case
19	a	DET	19	det
20	reason	NOUN	14	obl
21	,	PUNCT	14	punct
22	not	ADV	25	advmod
23	for	SCONJ	25	mark
24	you	PRON	25	nsubj
25	to	PART	25	mark
26	critisize	VERB	14	advcl
27	me	PRON	25	obj
28	.	PUNCT	2	punct