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:
Daniels is not set up for prepayments as they bill off an invoice and the main office and accounting had to create an invoice for a chromatograph that had not been delivered.
Postion	Tokenization
1	Daniels
2	is
3	not
4	set
5	up
6	for
7	prepayments
8	as
9	they
10	bill
11	off
12	an
13	invoice
14	and
15	the
16	main
17	office
18	and
19	accounting
20	had
21	to
22	create
23	an
24	invoice
25	for
26	a
27	chromatograph
28	that
29	had
30	not
31	been
32	delivered
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Daniels	PROPN	4	nsubj:pass
2	is	AUX	4	aux:pass
3	not	PART	4	advmod
4	set	VERB	0	root
5	up	ADP	4	compound:prt
6	for	ADP	7	case
7	prepayments	NOUN	4	obl
8	as	SCONJ	10	mark
9	they	PRON	10	nsubj
10	bill	VERB	4	advcl
11	off	ADP	13	case
12	an	DET	13	det
13	invoice	NOUN	10	obl
14	and	CCONJ	20	cc
15	the	DET	17	det
16	main	ADJ	17	amod
17	office	NOUN	20	nsubj
18	and	CCONJ	19	cc
19	accounting	NOUN	17	conj
20	had	VERB	4	conj
21	to	PART	22	mark
22	create	VERB	20	xcomp
23	an	DET	24	det
24	invoice	NOUN	22	obj
25	for	ADP	27	case
26	a	DET	27	det
27	chromatograph	NOUN	24	nmod
28	that	PRON	32	nsubj:pass
29	had	AUX	32	aux
30	not	PART	32	advmod
31	been	AUX	32	aux:pass
32	delivered	VERB	27	acl:relcl
33	.	PUNCT	4	punct