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 eventually decided to just pay the balance even though the doctor has already been paid, but now the collection agency is trying to say another reversal of $160.00 has come through.
Postion	Tokenization
1	I
2	eventually
3	decided
4	to
5	just
6	pay
7	the
8	balance
9	even
10	though
11	the
12	doctor
13	has
14	already
15	been
16	paid
17	,
18	but
19	now
20	the
21	collection
22	agency
23	is
24	trying
25	to
26	say
27	another
28	reversal
29	of
30	$
31	160.00
32	has
33	come
34	through
35	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	3	nsubj
2	eventually	ADV	3	advmod
3	decided	VERB	0	root
4	to	PART	6	mark
5	just	ADV	6	advmod
6	pay	VERB	3	xcomp
7	the	DET	8	det
8	balance	NOUN	6	obj
9	even	ADV	16	advmod
10	though	SCONJ	16	mark
11	the	DET	12	det
12	doctor	NOUN	16	nsubj:pass
13	has	AUX	16	aux
14	already	ADV	16	advmod
15	been	AUX	16	aux:pass
16	paid	VERB	6	advcl
17	,	PUNCT	24	punct
18	but	CCONJ	24	cc
19	now	ADV	24	advmod
20	the	DET	22	det
21	collection	NOUN	22	compound
22	agency	NOUN	24	nsubj
23	is	AUX	24	aux
24	trying	VERB	3	conj
25	to	PART	26	mark
26	say	VERB	24	xcomp
27	another	DET	28	det
28	reversal	NOUN	33	nsubj
29	of	ADP	30	case
30	$	SYM	28	nmod
31	160.00	NUM	30	nummod
32	has	AUX	33	aux
33	come	VERB	26	ccomp
34	through	ADV	33	advmod
35	.	PUNCT	3	punct