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 expected to pay for this service, but imagine my surprise when I received a bill for MORE than what I paid to have the original return prepared.
Postion	Tokenization
1	I
2	expected
3	to
4	pay
5	for
6	this
7	service
8	,
9	but
10	imagine
11	my
12	surprise
13	when
14	I
15	received
16	a
17	bill
18	for
19	MORE
20	than
21	what
22	I
23	paid
24	to
25	have
26	the
27	original
28	return
29	prepared
30	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	expected	VERB	0	root
3	to	PART	4	mark
4	pay	VERB	2	xcomp
5	for	ADP	7	case
6	this	DET	7	det
7	service	NOUN	4	obl
8	,	PUNCT	10	punct
9	but	CCONJ	10	cc
10	imagine	VERB	2	conj
11	my	PRON	12	nmod:poss
12	surprise	NOUN	10	obj
13	when	SCONJ	15	mark
14	I	PRON	15	nsubj
15	received	VERB	10	advcl
16	a	DET	17	det
17	bill	NOUN	15	obj
18	for	ADP	19	case
19	MORE	ADJ	17	nmod
20	than	SCONJ	23	mark
21	what	PRON	23	obj
22	I	PRON	23	nsubj
23	paid	VERB	19	advcl
24	to	PART	25	mark
25	have	VERB	23	advcl
26	the	DET	28	det
27	original	ADJ	28	amod
28	return	NOUN	25	obj
29	prepared	VERB	25	xcomp
30	.	PUNCT	2	punct