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 live 10 minutes from Cycle City, but I Drove 50 mile south to Peachstate Powersports in LaGrange, dealt with the owner, Levi, and was well taken care of.
Postion	Tokenization
1	I
2	live
3	10
4	minutes
5	from
6	Cycle
7	City
8	,
9	but
10	I
11	Drove
12	50
13	mile
14	south
15	to
16	Peachstate
17	Powersports
18	in
19	LaGrange
20	,
21	dealt
22	with
23	the
24	owner
25	,
26	Levi
27	,
28	and
29	was
30	well
31	taken
32	care
33	of
34	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	live	VERB	0	root
3	10	NUM	4	nummod
4	minutes	NOUN	7	nmod:npmod
5	from	ADP	7	case
6	Cycle	PROPN	7	compound
7	City	PROPN	2	obl
8	,	PUNCT	11	punct
9	but	CCONJ	11	cc
10	I	PRON	11	nsubj
11	Drove	VERB	2	conj
12	50	NUM	13	nummod
13	mile	NOUN	14	obl:npmod
14	south	ADV	11	advmod
15	to	ADP	17	case
16	Peachstate	PROPN	17	compound
17	Powersports	PROPN	11	obl
18	in	ADP	19	case
19	LaGrange	PROPN	17	nmod
20	,	PUNCT	21	punct
21	dealt	VERB	11	conj
22	with	ADP	24	case
23	the	DET	24	det
24	owner	NOUN	21	obl
25	,	PUNCT	24	punct
26	Levi	PROPN	24	appos
27	,	PUNCT	31	punct
28	and	CCONJ	31	cc
29	was	AUX	31	aux:pass
30	well	ADV	31	advmod
31	taken	VERB	11	conj
32	care	NOUN	31	obj
33	of	ADP	31	obl
34	.	PUNCT	2	punct