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 had wanted to split the total between a credit card and check card since I was being reimbursed for the tire but was told this wasn't possible.
Postion	Tokenization
1	I
2	had
3	wanted
4	to
5	split
6	the
7	total
8	between
9	a
10	credit
11	card
12	and
13	check
14	card
15	since
16	I
17	was
18	being
19	reimbursed
20	for
21	the
22	tire
23	but
24	was
25	told
26	this
27	wasn't
28	was
29	n't
30	possible
31	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	3	nsubj
2	had	AUX	3	aux
3	wanted	VERB	0	root
4	to	PART	5	mark
5	split	VERB	3	xcomp
6	the	DET	7	det
7	total	NOUN	5	obj
8	between	ADP	11	case
9	a	DET	11	det
10	credit	NOUN	11	compound
11	card	NOUN	5	obl
12	and	CCONJ	14	cc
13	check	NOUN	14	compound
14	card	NOUN	11	conj
15	since	SCONJ	19	mark
16	I	PRON	19	nsubj:pass
17	was	AUX	19	aux
18	being	AUX	19	aux:pass
19	reimbursed	VERB	5	advcl
20	for	ADP	22	case
21	the	DET	22	det
22	tire	NOUN	19	obl
23	but	CCONJ	25	cc
24	was	AUX	25	aux:pass
25	told	VERB	3	conj
26	this	PRON	29	nsubj
27	wasn't	_	None	_
28	was	AUX	29	cop
29	n't	PART	29	advmod
30	possible	ADJ	25	ccomp
31	.	PUNCT	3	punct