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 never got a price quote over the phone and they take your cc info just to make the appointment because if you don't show up, they'll charge you.
Postion	Tokenization
1	I
2	never
3	got
4	a
5	price
6	quote
7	over
8	the
9	phone
10	and
11	they
12	take
13	your
14	cc
15	info
16	just
17	to
18	make
19	the
20	appointment
21	because
22	if
23	you
24	don't
25	do
26	n't
27	show
28	up
29	,
30	they'll
31	they
32	'll
33	charge
34	you
35	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	3	nsubj
2	never	ADV	3	advmod
3	got	VERB	0	root
4	a	DET	6	det
5	price	NOUN	6	compound
6	quote	NOUN	3	obj
7	over	ADP	9	case
8	the	DET	9	det
9	phone	NOUN	3	obl
10	and	CCONJ	12	cc
11	they	PRON	12	nsubj
12	take	VERB	3	conj
13	your	PRON	15	nmod:poss
14	cc	NOUN	15	compound
15	info	NOUN	12	obj
16	just	ADV	18	advmod
17	to	PART	18	mark
18	make	VERB	12	advcl
19	the	DET	20	det
20	appointment	NOUN	18	obj
21	because	SCONJ	31	mark
22	if	SCONJ	26	mark
23	you	PRON	26	nsubj
24	don't	_	None	_
25	do	AUX	26	aux
26	n't	PART	26	advmod
27	show	VERB	31	advcl
28	up	ADP	26	compound:prt
29	,	PUNCT	31	punct
30	they'll	_	None	_
31	they	PRON	31	nsubj
32	'll	AUX	31	aux
33	charge	VERB	12	advcl
34	you	PRON	31	obj
35	.	PUNCT	3	punct