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:
You shouldn't ask this question it's intimidating, if i tell you what people knows about Philippines you will blush, thank god many thinks i'm japanese just because of the way i keep myself, the way i talk and treat people, and the way i dress, so if you don't want nasty, insulting answers especially from those undesirable migrants like puttagenius, caloy, gro science, and irene.
Postion	Tokenization
1	You
2	shouldn't
3	should
4	n't
5	ask
6	this
7	question
8	it's
9	it
10	's
11	intimidating
12	,
13	if
14	i
15	tell
16	you
17	what
18	people
19	knows
20	about
21	Philippines
22	you
23	will
24	blush
25	,
26	thank
27	god
28	many
29	thinks
30	i'm
31	i
32	'm
33	japanese
34	just
35	because
36	of
37	the
38	way
39	i
40	keep
41	myself
42	,
43	the
44	way
45	i
46	talk
47	and
48	treat
49	people
50	,
51	and
52	the
53	way
54	i
55	dress
56	,
57	so
58	if
59	you
60	don't
61	do
62	n't
63	want
64	nasty
65	,
66	insulting
67	answers
68	especially
69	from
70	those
71	undesirable
72	migrants
73	like
74	puttagenius
75	,
76	caloy
77	,
78	gro
79	science
80	,
81	and
82	irene
83	.
Position	Tokenization	UPOS	Head	Deprel
1	You	PRON	4	nsubj
2	shouldn't	_	None	_
3	should	AUX	4	aux
4	n't	PART	4	advmod
5	ask	VERB	0	root
6	this	DET	6	det
7	question	NOUN	4	obj
8	it's	_	None	_
9	it	PRON	9	nsubj
10	's	AUX	9	cop
11	intimidating	ADJ	4	parataxis
12	,	PUNCT	4	punct
13	if	SCONJ	13	mark
14	i	PRON	13	nsubj
15	tell	VERB	22	advcl
16	you	PRON	13	iobj
17	what	PRON	17	obj
18	people	NOUN	17	nsubj
19	knows	VERB	13	ccomp
20	about	ADP	19	case
21	Philippines	PROPN	17	obl
22	you	PRON	22	nsubj
23	will	AUX	22	aux
24	blush	VERB	4	parataxis
25	,	PUNCT	4	punct
26	thank	VERB	4	parataxis
27	god	NOUN	24	obj
28	many	ADJ	27	nsubj
29	thinks	VERB	24	ccomp
30	i'm	_	None	_
31	i	PRON	30	nsubj
32	'm	AUX	30	cop
33	japanese	ADJ	27	ccomp
34	just	ADV	35	advmod
35	because	ADP	35	case
36	of	ADP	32	fixed
37	the	DET	35	det
38	way	NOUN	27	obl
39	i	PRON	37	nsubj
40	keep	VERB	35	acl:relcl
41	myself	PRON	37	obj
42	,	PUNCT	41	punct
43	the	DET	41	det
44	way	NOUN	35	conj
45	i	PRON	43	nsubj
46	talk	VERB	41	acl:relcl
47	and	CCONJ	45	cc
48	treat	VERB	43	conj
49	people	NOUN	45	obj
50	,	PUNCT	50	punct
51	and	CCONJ	50	cc
52	the	DET	50	det
53	way	NOUN	35	conj
54	i	PRON	52	nsubj
55	dress	VERB	50	acl:relcl
56	,	PUNCT	4	punct
57	so	ADV	58	advmod
58	if	SCONJ	59	mark
59	you	PRON	59	nsubj
60	don't	_	None	_
61	do	AUX	59	aux
62	n't	PART	59	advmod
63	want	VERB	4	advcl
64	nasty	ADJ	63	amod
65	,	PUNCT	63	punct
66	insulting	ADJ	63	amod
67	answers	NOUN	59	obj
68	especially	ADV	68	advmod
69	from	ADP	68	case
70	those	DET	68	det
71	undesirable	ADJ	68	amod
72	migrants	NOUN	59	obl
73	like	ADP	70	case
74	puttagenius	PROPN	68	nmod
75	,	PUNCT	72	punct
76	caloy	PROPN	70	conj
77	,	PUNCT	75	punct
78	gro	PROPN	75	compound
79	science	PROPN	70	conj
80	,	PUNCT	78	punct
81	and	CCONJ	78	cc
82	irene	PROPN	70	conj
83	.	PUNCT	4	punct