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 needed a part for my appliance, the cost was very high so I said never mind, paid the fee and called a local business for a second quote.
Postion	Tokenization
1	I
2	needed
3	a
4	part
5	for
6	my
7	appliance
8	,
9	the
10	cost
11	was
12	very
13	high
14	so
15	I
16	said
17	never
18	mind
19	,
20	paid
21	the
22	fee
23	and
24	called
25	a
26	local
27	business
28	for
29	a
30	second
31	quote
32	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	needed	VERB	0	root
3	a	DET	4	det
4	part	NOUN	2	obj
5	for	ADP	7	case
6	my	PRON	7	nmod:poss
7	appliance	NOUN	4	nmod
8	,	PUNCT	13	punct
9	the	DET	10	det
10	cost	NOUN	13	nsubj
11	was	AUX	13	cop
12	very	ADV	13	advmod
13	high	ADJ	2	conj
14	so	ADV	16	advmod
15	I	PRON	16	nsubj
16	said	VERB	13	advcl
17	never	ADV	18	advmod
18	mind	VERB	16	ccomp
19	,	PUNCT	20	punct
20	paid	VERB	16	conj
21	the	DET	22	det
22	fee	NOUN	20	obj
23	and	CCONJ	24	cc
24	called	VERB	16	conj
25	a	DET	27	det
26	local	ADJ	27	amod
27	business	NOUN	24	obj
28	for	ADP	31	case
29	a	DET	31	det
30	second	ADJ	31	amod
31	quote	NOUN	24	obl
32	.	PUNCT	2	punct