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 just got a call from Dave and Frank and they tell me I have a whole week this time to approve the whole counterparty list to trade Australian financial power.
Postion	Tokenization
1	I
2	just
3	got
4	a
5	call
6	from
7	Dave
8	and
9	Frank
10	and
11	they
12	tell
13	me
14	I
15	have
16	a
17	whole
18	week
19	this
20	time
21	to
22	approve
23	the
24	whole
25	counterparty
26	list
27	to
28	trade
29	Australian
30	financial
31	power
32	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	3	nsubj
2	just	ADV	3	advmod
3	got	VERB	0	root
4	a	DET	5	det
5	call	NOUN	3	obj
6	from	ADP	7	case
7	Dave	PROPN	5	nmod
8	and	CCONJ	9	cc
9	Frank	PROPN	7	conj
10	and	CCONJ	12	cc
11	they	PRON	12	nsubj
12	tell	VERB	3	conj
13	me	PRON	12	iobj
14	I	PRON	15	nsubj
15	have	VERB	12	ccomp
16	a	DET	18	det
17	whole	ADJ	18	amod
18	week	NOUN	15	obj
19	this	DET	20	det
20	time	NOUN	15	obl:npmod
21	to	PART	22	mark
22	approve	VERB	15	advcl
23	the	DET	26	det
24	whole	ADJ	26	amod
25	counterparty	NOUN	26	compound
26	list	NOUN	22	obj
27	to	PART	28	mark
28	trade	VERB	22	advcl
29	Australian	ADJ	31	amod
30	financial	ADJ	31	amod
31	power	NOUN	28	obj
32	.	PUNCT	3	punct