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:
MAD means crazy, or angry, so you do a lot with it, i would put a gorrilla screaming , just the face, and just throw in a lot of brushes fifferent colors, make it look artistic.
Postion	Tokenization
1	MAD
2	means
3	crazy
4	,
5	or
6	angry
7	,
8	so
9	you
10	do
11	a
12	lot
13	with
14	it
15	,
16	i
17	would
18	put
19	a
20	gorrilla
21	screaming
22	,
23	just
24	the
25	face
26	,
27	and
28	just
29	throw
30	in
31	a
32	lot
33	of
34	brushes
35	fifferent
36	colors
37	,
38	make
39	it
40	look
41	artistic
42	.
Position	Tokenization	UPOS	Head	Deprel
1	MAD	NOUN	2	nsubj
2	means	VERB	0	root
3	crazy	ADJ	2	obj
4	,	PUNCT	6	punct
5	or	CCONJ	6	cc
6	angry	ADJ	3	conj
7	,	PUNCT	2	punct
8	so	ADV	10	advmod
9	you	PRON	10	nsubj
10	do	VERB	2	advcl
11	a	DET	12	det
12	lot	NOUN	10	obj
13	with	ADP	14	case
14	it	PRON	10	obl
15	,	PUNCT	2	punct
16	i	PRON	18	nsubj
17	would	AUX	18	aux
18	put	VERB	2	parataxis
19	a	DET	20	det
20	gorrilla	NOUN	18	obj
21	screaming	VERB	20	acl
22	,	PUNCT	20	punct
23	just	ADV	25	advmod
24	the	DET	25	det
25	face	NOUN	20	parataxis
26	,	PUNCT	29	punct
27	and	CCONJ	29	cc
28	just	ADV	29	advmod
29	throw	VERB	18	conj
30	in	ADV	29	advmod
31	a	DET	32	det
32	lot	NOUN	29	obj
33	of	ADP	34	case
34	brushes	NOUN	32	nmod
35	fifferent	ADJ	36	amod
36	colors	NOUN	34	parataxis
37	,	PUNCT	29	punct
38	make	VERB	29	parataxis
39	it	PRON	38	obj
40	look	VERB	38	xcomp
41	artistic	ADJ	40	xcomp
42	.	PUNCT	2	punct