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:
Since they released kinect this was kind of their way of releasing a new Xbox so they don't plan on making another one for a while.
Postion	Tokenization
1	Since
2	they
3	released
4	kinect
5	this
6	was
7	kind
8	of
9	their
10	way
11	of
12	releasing
13	a
14	new
15	Xbox
16	so
17	they
18	don't
19	do
20	n't
21	plan
22	on
23	making
24	another
25	one
26	for
27	a
28	while
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Since	SCONJ	3	mark
2	they	PRON	3	nsubj
3	released	VERB	10	advcl
4	kinect	PROPN	3	obj
5	this	PRON	10	nsubj
6	was	AUX	10	cop
7	kind	ADV	10	advmod
8	of	ADV	7	fixed
9	their	PRON	10	nmod:poss
10	way	NOUN	0	root
11	of	SCONJ	12	mark
12	releasing	VERB	10	acl
13	a	DET	15	det
14	new	ADJ	15	amod
15	Xbox	PROPN	12	obj
16	so	ADV	20	advmod
17	they	PRON	20	nsubj
18	don't	_	None	_
19	do	AUX	20	aux
20	n't	PART	20	advmod
21	plan	VERB	10	parataxis
22	on	SCONJ	22	mark
23	making	VERB	20	advcl
24	another	DET	24	det
25	one	NOUN	22	obj
26	for	ADP	27	case
27	a	DET	27	det
28	while	NOUN	22	obl
29	.	PUNCT	10	punct