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:
My concept is that overtime I would like to own one of all the following artists and they are all depending when I find something that we really like.
Postion	Tokenization
1	My
2	concept
3	is
4	that
5	over
6	time
7	I
8	would
9	like
10	to
11	own
12	one
13	of
14	all
15	the
16	following
17	artists
18	and
19	they
20	are
21	all
22	depending
23	when
24	I
25	find
26	something
27	that
28	we
29	really
30	like
31	.
Position	Tokenization	UPOS	Head	Deprel
1	My	PRON	2	nmod:poss
2	concept	NOUN	3	nsubj
3	is	VERB	0	root
4	that	SCONJ	9	mark
5	over	ADP	6	case
6	time	NOUN	9	obl
7	I	PRON	9	nsubj
8	would	AUX	9	aux
9	like	VERB	3	ccomp
10	to	PART	11	mark
11	own	VERB	9	xcomp
12	one	NUM	11	obj
13	of	ADP	17	case
14	all	DET	17	det:predet
15	the	DET	17	det
16	following	VERB	17	amod
17	artists	NOUN	12	nmod
18	and	CCONJ	22	cc
19	they	PRON	22	nsubj
20	are	AUX	22	aux
21	all	ADV	22	advmod
22	depending	VERB	3	conj
23	when	SCONJ	25	mark
24	I	PRON	25	nsubj
25	find	VERB	22	advcl
26	something	PRON	25	obj
27	that	PRON	30	obj
28	we	PRON	30	nsubj
29	really	ADV	30	advmod
30	like	VERB	26	acl:relcl
31	.	PUNCT	3	punct