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:
WE HAVE A DATE FOR THE RELEASE OF RAGNAROK ONLINE 2 (beta anyway)September 16-18, this was announced by Gravity CEO Kim Jung-Ryool on either 16th or 17th of july and as i don't want to take someone's credit's i got it here^^GameSpot
Postion	Tokenization
1	WE
2	HAVE
3	A
4	DATE
5	FOR
6	THE
7	RELEASE
8	OF
9	RAGNAROK
10	ONLINE
11	2
12	(
13	beta
14	anyway
15	)
16	September
17	16
18	-
19	18
20	,
21	this
22	was
23	announced
24	by
25	Gravity
26	CEO
27	Kim
28	Jung
29	-
30	Ryool
31	on
32	either
33	16th
34	or
35	17th
36	of
37	july
38	and
39	as
40	i
41	don't
42	do
43	n't
44	want
45	to
46	take
47	someone's
48	someone
49	's
50	credit's
51	i
52	got
53	it
54	here
55	^^
56	GameSpot
Position	Tokenization	UPOS	Head	Deprel
1	WE	PRON	2	nsubj
2	HAVE	VERB	0	root
3	A	DET	4	det
4	DATE	NOUN	2	obj
5	FOR	ADP	7	case
6	THE	DET	7	det
7	RELEASE	NOUN	4	nmod
8	OF	ADP	11	case
9	RAGNAROK	PROPN	11	compound
10	ONLINE	PROPN	11	compound
11	2	PROPN	7	nmod
12	(	PUNCT	13	punct
13	beta	NOUN	2	parataxis
14	anyway	ADV	13	advmod
15	)	PUNCT	13	punct
16	September	PROPN	2	parataxis
17	16	NUM	16	nummod
18	-	SYM	19	case
19	18	NUM	17	nmod
20	,	PUNCT	17	punct
21	this	PRON	23	nsubj:pass
22	was	AUX	23	aux:pass
23	announced	VERB	17	parataxis
24	by	ADP	27	case
25	Gravity	PROPN	26	compound
26	CEO	NOUN	27	compound
27	Kim	PROPN	23	obl
28	Jung	PROPN	27	flat
29	-	PUNCT	27	punct
30	Ryool	PROPN	27	flat
31	on	ADP	33	case
32	either	CCONJ	33	cc:preconj
33	16th	NOUN	23	obl
34	or	CCONJ	35	cc
35	17th	NOUN	33	conj
36	of	ADP	37	case
37	july	PROPN	33	nmod
38	and	CCONJ	50	cc
39	as	SCONJ	43	mark
40	i	PRON	43	nsubj
41	don't	_	None	_
42	do	AUX	43	aux
43	n't	PART	43	advmod
44	want	VERB	50	advcl
45	to	PART	45	mark
46	take	VERB	43	xcomp
47	someone's	_	None	_
48	someone	PRON	48	nmod:poss
49	's	PART	46	case
50	credit's	NOUN	45	obj
51	i	PRON	50	nsubj
52	got	VERB	23	conj
53	it	PRON	50	obj
54	here	ADV	50	advmod
55	^^	SYM	52	discourse
56	GameSpot	PROPN	52	appos