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 have purchased over 15 vehicles (cars, rvs, and boats) in my lifetime and I have to say the experience with Michael and Barrett Motor Cars of San Antonio was one of the best.
Postion	Tokenization
1	I
2	have
3	purchased
4	over
5	15
6	vehicles
7	(
8	cars
9	,
10	rvs
11	,
12	and
13	boats
14	)
15	in
16	my
17	lifetime
18	and
19	I
20	have
21	to
22	say
23	the
24	experience
25	with
26	Michael
27	and
28	Barrett
29	Motor
30	Cars
31	of
32	San
33	Antonio
34	was
35	one
36	of
37	the
38	best
39	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	3	nsubj
2	have	AUX	3	aux
3	purchased	VERB	0	root
4	over	ADV	5	advmod
5	15	NUM	6	nummod
6	vehicles	NOUN	3	obj
7	(	PUNCT	10	punct
8	cars	NOUN	6	appos
9	,	PUNCT	10	punct
10	rvs	NOUN	8	conj
11	,	PUNCT	10	punct
12	and	CCONJ	13	cc
13	boats	NOUN	8	conj
14	)	PUNCT	13	punct
15	in	ADP	17	case
16	my	PRON	17	nmod:poss
17	lifetime	NOUN	3	obl
18	and	CCONJ	20	cc
19	I	PRON	20	nsubj
20	have	VERB	3	conj
21	to	PART	22	mark
22	say	VERB	20	xcomp
23	the	DET	24	det
24	experience	NOUN	35	nsubj
25	with	ADP	26	case
26	Michael	PROPN	24	nmod
27	and	CCONJ	30	cc
28	Barrett	PROPN	26	conj
29	Motor	PROPN	30	compound
30	Cars	PROPN	28	flat
31	of	ADP	32	case
32	San	PROPN	30	nmod
33	Antonio	PROPN	32	flat
34	was	AUX	35	cop
35	one	NUM	22	ccomp
36	of	ADP	38	case
37	the	DET	38	det
38	best	ADJ	35	nmod
39	.	PUNCT	3	punct