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'm getting a dwarf Hamster tomorrow And i was just talking to my Mom and she said that we have to take out the wheel at night because it would disturb her sleep But i told her no because i said their energetic at night at my room is right next door to hers But i heard their are wheels that dont make noise at all what would be the price of it?
Postion	Tokenization
1	I'm
2	I
3	'm
4	getting
5	a
6	dwarf
7	Hamster
8	tomorrow
9	And
10	i
11	was
12	just
13	talking
14	to
15	my
16	Mom
17	and
18	she
19	said
20	that
21	we
22	have
23	to
24	take
25	out
26	the
27	wheel
28	at
29	night
30	because
31	it
32	would
33	disturb
34	her
35	sleep
36	But
37	i
38	told
39	her
40	no
41	because
42	i
43	said
44	thei
45	r
46	energetic
47	at
48	night
49	at
50	my
51	room
52	is
53	right
54	next
55	door
56	to
57	hers
58	But
59	i
60	heard
61	their
62	are
63	wheels
64	that
65	dont
66	do
67	nt
68	make
69	noise
70	at
71	all
72	what
73	would
74	be
75	the
76	price
77	of
78	it
79	?
Position	Tokenization	UPOS	Head	Deprel
1	I'm	_	None	_
2	I	PRON	3	nsubj
3	'm	AUX	3	aux
4	getting	VERB	0	root
5	a	DET	6	det
6	dwarf	ADJ	6	amod
7	Hamster	NOUN	3	obj
8	tomorrow	NOUN	3	obl:tmod
9	And	CCONJ	12	cc
10	i	PRON	12	nsubj
11	was	AUX	12	aux
12	just	ADV	12	advmod
13	talking	VERB	3	conj
14	to	ADP	15	case
15	my	PRON	15	nmod:poss
16	Mom	PROPN	12	obl
17	and	CCONJ	18	cc
18	she	PRON	18	nsubj
19	said	VERB	12	conj
20	that	SCONJ	21	mark
21	we	PRON	21	nsubj
22	have	VERB	18	ccomp
23	to	PART	23	mark
24	take	VERB	21	xcomp
25	out	ADP	23	compound:prt
26	the	DET	26	det
27	wheel	NOUN	23	obj
28	at	ADP	28	case
29	night	NOUN	23	obl
30	because	SCONJ	32	mark
31	it	PRON	32	nsubj
32	would	AUX	32	aux
33	disturb	VERB	23	advcl
34	her	PRON	34	nmod:poss
35	sleep	NOUN	32	obj
36	But	CCONJ	37	cc
37	i	PRON	37	nsubj
38	told	VERB	3	conj
39	her	PRON	37	iobj
40	no	INTJ	37	ccomp
41	because	SCONJ	42	mark
42	i	PRON	42	nsubj
43	said	VERB	37	advcl
44	thei	PRON	45	nsubj
45	r	AUX	45	cop
46	energetic	ADJ	42	ccomp
47	at	ADP	47	case
48	night	NOUN	45	obl
49	at	CCONJ	54	cc
50	my	PRON	50	nmod:poss
51	room	NOUN	54	nsubj
52	is	AUX	54	cop
53	right	ADV	54	advmod
54	next	ADJ	54	amod
55	door	NOUN	37	conj
56	to	ADP	56	case
57	hers	PRON	54	nmod
58	But	CCONJ	59	cc
59	i	PRON	59	nsubj
60	heard	VERB	3	conj
61	their	PRON	61	expl
62	are	VERB	59	ccomp
63	wheels	NOUN	61	nsubj
64	that	PRON	66	nsubj
65	dont	_	None	_
66	do	AUX	66	aux
67	nt	PART	66	advmod
68	make	VERB	62	acl:relcl
69	noise	NOUN	66	obj
70	at	ADV	69	case
71	all	ADV	66	obl
72	what	PRON	3	parataxis
73	would	AUX	70	aux
74	be	AUX	70	cop
75	the	DET	74	det
76	price	NOUN	70	nsubj
77	of	ADP	76	case
78	it	PRON	74	nmod
79	?	PUNCT	3	punct