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 been here a few times for oil changes and just got my tires, alignment and state inspection done yesterday.
Postion	Tokenization
1	I
2	have
3	been
4	here
5	a
6	few
7	times
8	for
9	oil
10	changes
11	and
12	just
13	got
14	my
15	tires
16	,
17	alignment
18	and
19	state
20	inspection
21	done
22	yesterday
23	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	4	nsubj
2	have	AUX	4	aux
3	been	AUX	4	cop
4	here	ADV	0	root
5	a	DET	7	det
6	few	ADJ	7	amod
7	times	NOUN	4	obl:tmod
8	for	ADP	10	case
9	oil	NOUN	10	compound
10	changes	NOUN	4	obl
11	and	CCONJ	13	cc
12	just	ADV	13	advmod
13	got	VERB	4	conj
14	my	PRON	15	nmod:poss
15	tires	NOUN	13	obj
16	,	PUNCT	17	punct
17	alignment	NOUN	15	conj
18	and	CCONJ	20	cc
19	state	NOUN	20	compound
20	inspection	NOUN	15	conj
21	done	VERB	13	xcomp
22	yesterday	NOUN	13	obl:tmod
23	.	PUNCT	4	punct