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:
hi everyone....just hav my hands on my new OLYMPUS X940 digital camera..wel,i always wanted 2 hav one by sony..but anyways,ended up having olympus X940 from my dad.......does any1 already has it?
Postion	Tokenization
1	hi
2	everyone
3	....
4	just
5	hav
6	my
7	hands
8	on
9	my
10	new
11	OLYMPUS
12	X940
13	digital
14	camera
15	..
16	wel
17	,
18	i
19	always
20	wanted
21	2
22	hav
23	one
24	by
25	sony
26	..
27	but
28	anyways
29	,
30	ended
31	up
32	having
33	olympus
34	X940
35	from
36	my
37	dad
38	.......
39	does
40	any1
41	already
42	has
43	it
44	?
Position	Tokenization	UPOS	Head	Deprel
1	hi	INTJ	5	discourse
2	everyone	PRON	5	vocative
3	....	PUNCT	5	punct
4	just	ADV	5	advmod
5	hav	VERB	0	root
6	my	PRON	7	nmod:poss
7	hands	NOUN	5	obj
8	on	ADP	14	case
9	my	PRON	14	nmod:poss
10	new	ADJ	14	amod
11	OLYMPUS	PROPN	14	compound
12	X940	PROPN	14	compound
13	digital	ADJ	14	amod
14	camera	NOUN	7	nmod
15	..	PUNCT	5	punct
16	wel	INTJ	5	discourse
17	,	PUNCT	5	punct
18	i	PRON	20	nsubj
19	always	ADV	20	advmod
20	wanted	VERB	5	parataxis
21	2	PART	22	mark
22	hav	VERB	20	xcomp
23	one	NUM	22	obj
24	by	ADP	25	case
25	sony	PROPN	23	nmod
26	..	PUNCT	20	punct
27	but	CCONJ	30	cc
28	anyways	ADV	30	advmod
29	,	PUNCT	30	punct
30	ended	VERB	20	conj
31	up	ADP	30	compound:prt
32	having	VERB	30	parataxis
33	olympus	PROPN	34	compound
34	X940	PROPN	32	obj
35	from	ADP	37	case
36	my	PRON	37	nmod:poss
37	dad	NOUN	34	nmod
38	.......	PUNCT	5	punct
39	does	AUX	42	aux
40	any1	PRON	42	nsubj
41	already	ADV	42	advmod
42	has	VERB	5	parataxis
43	it	PRON	42	obj
44	?	PUNCT	5	punct