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:
Also I am still thinking about the Matisse we discussed before but as you can see, I have a lot of other artists I am interested in and it may remain on the back burner because we already have one.
Postion	Tokenization
1	Also
2	I
3	am
4	still
5	thinking
6	about
7	the
8	Matisse
9	we
10	discussed
11	before
12	but
13	as
14	you
15	can
16	see
17	,
18	I
19	have
20	a
21	lot
22	of
23	other
24	artists
25	I
26	am
27	interested
28	in
29	and
30	it
31	may
32	remain
33	on
34	the
35	back
36	burner
37	because
38	we
39	already
40	have
41	one
42	.
Position	Tokenization	UPOS	Head	Deprel
1	Also	ADV	5	advmod
2	I	PRON	5	nsubj
3	am	AUX	5	aux
4	still	ADV	5	advmod
5	thinking	VERB	0	root
6	about	ADP	8	case
7	the	DET	8	det
8	Matisse	PROPN	5	obl
9	we	PRON	10	nsubj
10	discussed	VERB	8	acl:relcl
11	before	ADV	10	advmod
12	but	CCONJ	19	cc
13	as	SCONJ	16	mark
14	you	PRON	16	nsubj
15	can	AUX	16	aux
16	see	VERB	19	advcl
17	,	PUNCT	19	punct
18	I	PRON	19	nsubj
19	have	VERB	5	conj
20	a	DET	21	det
21	lot	NOUN	19	obj
22	of	ADP	24	case
23	other	ADJ	24	amod
24	artists	NOUN	21	nmod
25	I	PRON	27	nsubj
26	am	AUX	27	cop
27	interested	ADJ	24	acl:relcl
28	in	ADP	27	obl
29	and	CCONJ	32	cc
30	it	PRON	32	nsubj
31	may	AUX	32	aux
32	remain	VERB	19	conj
33	on	ADP	36	case
34	the	DET	36	det
35	back	ADJ	36	amod
36	burner	NOUN	32	obl
37	because	SCONJ	40	mark
38	we	PRON	40	nsubj
39	already	ADV	40	advmod
40	have	VERB	32	advcl
41	one	NUM	40	obj
42	.	PUNCT	5	punct