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 typically have work done on my Jeep at the dealership, but it is 6 years old now and getting charged dealership prices just didn't seem cost effective anymore.
Postion	Tokenization
1	I
2	typically
3	have
4	work
5	done
6	on
7	my
8	Jeep
9	at
10	the
11	dealership
12	,
13	but
14	it
15	is
16	6
17	years
18	old
19	now
20	and
21	getting
22	charged
23	dealership
24	prices
25	just
26	didn't
27	did
28	n't
29	seem
30	cost
31	effective
32	anymore
33	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	3	nsubj
2	typically	ADV	3	advmod
3	have	VERB	0	root
4	work	NOUN	3	obj
5	done	VERB	3	xcomp
6	on	ADP	8	case
7	my	PRON	8	nmod:poss
8	Jeep	PROPN	5	obl
9	at	ADP	11	case
10	the	DET	11	det
11	dealership	NOUN	5	obl
12	,	PUNCT	18	punct
13	but	CCONJ	18	cc
14	it	PRON	18	nsubj
15	is	AUX	18	cop
16	6	NUM	17	nummod
17	years	NOUN	18	obl:npmod
18	old	ADJ	3	conj
19	now	ADV	18	advmod
20	and	CCONJ	28	cc
21	getting	AUX	22	aux:pass
22	charged	VERB	28	csubj
23	dealership	NOUN	24	compound
24	prices	NOUN	22	obj
25	just	ADV	28	advmod
26	didn't	_	None	_
27	did	AUX	28	aux
28	n't	PART	28	advmod
29	seem	VERB	18	conj
30	cost	NOUN	30	obl:npmod
31	effective	ADJ	28	xcomp
32	anymore	ADV	28	advmod
33	.	PUNCT	3	punct