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 FUCKING HATE THIS PLACE EVERY TIME i GO THIS HOT CHICK SHOWS UP AND i MEAN REALLY HOT BUT SHE IS LIKE REAAAALLY DUMB AND THEN THEIR IS THIS OTHER CHICK THAT IS REALY UGLY BUT SHE IS LIKE SUPER SMART SHE COULD BE A SCIENTIST, BUT THEN THEIR IS THIS STONER WHO ALWAYS COMES HERE HIGH AND HE ALWAYS BRINGS HIS FUCKING DOG WHO IS SO HIGH FROM THE SECOND HAND SMOKE I THINK HE IS TRYING TO TALK.
Postion	Tokenization
1	I
2	FUCKING
3	HATE
4	THIS
5	PLACE
6	EVERY
7	TIME
8	i
9	GO
10	THIS
11	HOT
12	CHICK
13	SHOWS
14	UP
15	AND
16	i
17	MEAN
18	REALLY
19	HOT
20	BUT
21	SHE
22	IS
23	LIKE
24	REAAAALLY
25	DUMB
26	AND
27	THEN
28	THEIR
29	IS
30	THIS
31	OTHER
32	CHICK
33	THAT
34	IS
35	REALY
36	UGLY
37	BUT
38	SHE
39	IS
40	LIKE
41	SUPER
42	SMART
43	SHE
44	COULD
45	BE
46	A
47	SCIENTIST
48	,
49	BUT
50	THEN
51	THEIR
52	IS
53	THIS
54	STONER
55	WHO
56	ALWAYS
57	COMES
58	HERE
59	HIGH
60	AND
61	HE
62	ALWAYS
63	BRINGS
64	HIS
65	FUCKING
66	DOG
67	WHO
68	IS
69	SO
70	HIGH
71	FROM
72	THE
73	SECOND
74	HAND
75	SMOKE
76	I
77	THINK
78	HE
79	IS
80	TRYING
81	TO
82	TALK
83	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	3	nsubj
2	FUCKING	ADV	3	advmod
3	HATE	VERB	0	root
4	THIS	DET	5	det
5	PLACE	NOUN	3	obj
6	EVERY	DET	7	det
7	TIME	NOUN	13	obl:tmod
8	i	PRON	9	nsubj
9	GO	VERB	7	acl:relcl
10	THIS	DET	12	det
11	HOT	ADJ	12	amod
12	CHICK	NOUN	13	nsubj
13	SHOWS	VERB	3	parataxis
14	UP	ADP	13	compound:prt
15	AND	CCONJ	17	cc
16	i	PRON	17	nsubj
17	MEAN	VERB	3	conj
18	REALLY	ADV	19	advmod
19	HOT	ADJ	17	ccomp
20	BUT	CCONJ	25	cc
21	SHE	PRON	25	nsubj
22	IS	AUX	25	cop
23	LIKE	INTJ	25	discourse
24	REAAAALLY	ADV	25	advmod
25	DUMB	ADJ	3	conj
26	AND	CCONJ	29	cc
27	THEN	ADV	29	advmod
28	THEIR	PRON	29	expl
29	IS	VERB	3	conj
30	THIS	DET	32	det
31	OTHER	ADJ	32	amod
32	CHICK	NOUN	29	nsubj
33	THAT	PRON	36	nsubj
34	IS	AUX	36	cop
35	REALY	ADV	36	advmod
36	UGLY	ADJ	32	acl:relcl
37	BUT	CCONJ	42	cc
38	SHE	PRON	42	nsubj
39	IS	AUX	42	cop
40	LIKE	INTJ	42	discourse
41	SUPER	ADV	42	advmod
42	SMART	ADJ	3	conj
43	SHE	PRON	47	nsubj
44	COULD	AUX	47	aux
45	BE	AUX	47	cop
46	A	DET	47	det
47	SCIENTIST	NOUN	42	conj
48	,	PUNCT	52	punct
49	BUT	CCONJ	52	cc
50	THEN	ADV	52	advmod
51	THEIR	PRON	52	expl
52	IS	VERB	3	conj
53	THIS	DET	54	det
54	STONER	NOUN	52	nsubj
55	WHO	PRON	57	nsubj
56	ALWAYS	ADV	57	advmod
57	COMES	VERB	54	acl:relcl
58	HERE	ADV	57	advmod
59	HIGH	ADJ	57	advmod
60	AND	CCONJ	63	cc
61	HE	PRON	63	nsubj
62	ALWAYS	ADV	63	advmod
63	BRINGS	VERB	3	conj
64	HIS	PRON	66	nmod:poss
65	FUCKING	ADJ	66	amod
66	DOG	NOUN	63	obj
67	WHO	PRON	70	nsubj
68	IS	AUX	70	cop
69	SO	ADV	70	advmod
70	HIGH	ADJ	66	acl:relcl
71	FROM	ADP	75	case
72	THE	DET	75	det
73	SECOND	ADJ	74	amod
74	HAND	NOUN	75	compound
75	SMOKE	NOUN	70	obl
76	I	PRON	77	nsubj
77	THINK	VERB	69	advcl
78	HE	PRON	80	nsubj
79	IS	AUX	80	aux
80	TRYING	VERB	77	ccomp
81	TO	PART	82	mark
82	TALK	VERB	80	xcomp
83	.	PUNCT	3	punct