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 think he did it on purpose because of my simple request for another slice of grandma that wasn't so well-done (actually, burnt).
Postion	Tokenization
1	I
2	think
3	he
4	did
5	it
6	on
7	purpose
8	because
9	of
10	my
11	simple
12	request
13	for
14	another
15	slice
16	of
17	grandma
18	that
19	wasn't
20	was
21	n't
22	so
23	well
24	-
25	done
26	(
27	actually
28	,
29	burnt
30	)
31	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	think	VERB	0	root
3	he	PRON	4	nsubj
4	did	VERB	2	ccomp
5	it	PRON	4	obj
6	on	ADP	7	case
7	purpose	NOUN	4	obl
8	because	ADP	12	case
9	of	ADP	8	fixed
10	my	PRON	12	nmod:poss
11	simple	ADJ	12	amod
12	request	NOUN	4	obl
13	for	ADP	15	case
14	another	DET	15	det
15	slice	NOUN	12	nmod
16	of	ADP	17	case
17	grandma	NOUN	15	nmod
18	that	PRON	24	nsubj
19	wasn't	_	None	_
20	was	AUX	24	cop
21	n't	PART	24	advmod
22	so	ADV	24	advmod
23	well	ADV	24	advmod
24	-	PUNCT	24	punct
25	done	ADJ	15	acl:relcl
26	(	PUNCT	28	punct
27	actually	ADV	28	advmod
28	,	PUNCT	28	punct
29	burnt	ADJ	24	parataxis
30	)	PUNCT	28	punct
31	.	PUNCT	2	punct