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 came to know of you in my search for a reliable and reputable person to handle a very confidential business transaction, which involves the transfer of a huge sum of money to an account requiring maximum confidence.
Postion	Tokenization
1	I
2	came
3	to
4	know
5	of
6	you
7	in
8	my
9	search
10	for
11	a
12	reliable
13	and
14	reputable
15	person
16	to
17	handle
18	a
19	very
20	confidential
21	business
22	transaction
23	,
24	which
25	involves
26	the
27	transfer
28	of
29	a
30	huge
31	sum
32	of
33	money
34	to
35	an
36	account
37	requiring
38	maximum
39	confidence
40	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	came	VERB	0	root
3	to	PART	4	mark
4	know	VERB	2	xcomp
5	of	ADP	6	case
6	you	PRON	4	obl
7	in	ADP	9	case
8	my	PRON	9	nmod:poss
9	search	NOUN	4	obl
10	for	ADP	15	case
11	a	DET	15	det
12	reliable	ADJ	15	amod
13	and	CCONJ	14	cc
14	reputable	ADJ	12	conj
15	person	NOUN	9	nmod
16	to	PART	17	mark
17	handle	VERB	15	acl
18	a	DET	22	det
19	very	ADV	20	advmod
20	confidential	ADJ	22	amod
21	business	NOUN	22	compound
22	transaction	NOUN	17	obj
23	,	PUNCT	22	punct
24	which	PRON	25	nsubj
25	involves	VERB	22	acl:relcl
26	the	DET	27	det
27	transfer	NOUN	25	obj
28	of	ADP	31	case
29	a	DET	31	det
30	huge	ADJ	31	amod
31	sum	NOUN	27	nmod
32	of	ADP	33	case
33	money	NOUN	31	nmod
34	to	ADP	36	case
35	an	DET	36	det
36	account	NOUN	27	nmod
37	requiring	VERB	27	acl
38	maximum	ADJ	39	amod
39	confidence	NOUN	37	obj
40	.	PUNCT	2	punct