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:
Whether they pay me or not, if their parents get into an accident, stuck in traffic, etc. THE LAST THING I WOULD DO IS LET A CHILD GET RAPED BECAUSE I WASN'T PAID.
Postion	Tokenization
1	Whether
2	they
3	pay
4	me
5	or
6	not
7	,
8	if
9	their
10	parents
11	get
12	into
13	an
14	accident
15	,
16	stuck
17	in
18	traffic
19	,
20	etc.
21	THE
22	LAST
23	THING
24	I
25	WOULD
26	DO
27	IS
28	LET
29	A
30	CHILD
31	GET
32	RAPED
33	BECAUSE
34	I
35	WASN'T
36	WAS
37	N'T
38	PAID
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Whether	SCONJ	3	mark
2	they	PRON	3	nsubj
3	pay	VERB	27	advcl
4	me	PRON	3	obj
5	or	CCONJ	6	cc
6	not	PART	3	conj
7	,	PUNCT	27	punct
8	if	SCONJ	11	mark
9	their	PRON	10	nmod:poss
10	parents	NOUN	11	nsubj
11	get	VERB	27	advcl
12	into	ADP	14	case
13	an	DET	14	det
14	accident	NOUN	11	obl
15	,	PUNCT	16	punct
16	stuck	ADJ	14	conj
17	in	ADP	18	case
18	traffic	NOUN	16	obl
19	,	PUNCT	20	punct
20	etc.	X	14	conj
21	THE	DET	23	det
22	LAST	ADJ	23	amod
23	THING	NOUN	27	nsubj
24	I	PRON	26	nsubj
25	WOULD	AUX	26	aux
26	DO	VERB	23	acl:relcl
27	IS	AUX	0	root
28	LET	VERB	27	ccomp
29	A	DET	30	det
30	CHILD	NOUN	28	obj
31	GET	AUX	32	aux:pass
32	RAPED	VERB	28	xcomp
33	BECAUSE	SCONJ	37	mark
34	I	PRON	37	nsubj:pass
35	WASN'T	_	None	_
36	WAS	AUX	37	aux:pass
37	N'T	PART	37	advmod
38	PAID	VERB	32	advcl
39	.	PUNCT	27	punct