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 wish I had you as my dentist early on in my life - maybe my teeth would have been a lot better then they are now, However I am glad you are my dentist now.
Postion	Tokenization
1	I
2	wish
3	I
4	had
5	you
6	as
7	my
8	dentist
9	early
10	on
11	in
12	my
13	life
14	-
15	maybe
16	my
17	teeth
18	would
19	have
20	been
21	a
22	lot
23	better
24	then
25	they
26	are
27	now
28	,
29	However
30	I
31	am
32	glad
33	you
34	are
35	my
36	dentist
37	now
38	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	wish	VERB	0	root
3	I	PRON	4	nsubj
4	had	VERB	2	ccomp
5	you	PRON	4	obj
6	as	ADP	8	case
7	my	PRON	8	nmod:poss
8	dentist	NOUN	4	obl
9	early	ADV	10	advmod
10	on	ADV	4	advmod
11	in	ADP	13	case
12	my	PRON	13	nmod:poss
13	life	NOUN	10	obl
14	-	PUNCT	2	punct
15	maybe	ADV	23	advmod
16	my	PRON	17	nmod:poss
17	teeth	NOUN	23	nsubj
18	would	AUX	23	aux
19	have	AUX	23	aux
20	been	AUX	23	cop
21	a	DET	22	det
22	lot	NOUN	23	obl:npmod
23	better	ADJ	2	parataxis
24	then	SCONJ	27	mark
25	they	PRON	27	nsubj
26	are	AUX	27	cop
27	now	ADV	23	advcl
28	,	PUNCT	2	punct
29	However	ADV	32	advmod
30	I	PRON	32	nsubj
31	am	AUX	32	cop
32	glad	ADJ	2	parataxis
33	you	PRON	36	nsubj
34	are	AUX	36	cop
35	my	PRON	36	nmod:poss
36	dentist	NOUN	32	ccomp
37	now	ADV	36	advmod
38	.	PUNCT	2	punct