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 would beseech you to transfer a sum equaling ten to twenty-five percent(10-25 %) of your yearly income to our account to aid in this important venture.
Postion	Tokenization
1	I
2	would
3	beseech
4	you
5	to
6	transfer
7	a
8	sum
9	equaling
10	ten
11	to
12	twenty
13	-
14	five
15	percent
16	(
17	10
18	-
19	25
20	%
21	)
22	of
23	your
24	yearly
25	income
26	to
27	our
28	account
29	to
30	aid
31	in
32	this
33	important
34	venture
35	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	3	nsubj
2	would	AUX	3	aux
3	beseech	VERB	0	root
4	you	PRON	3	obj
5	to	PART	6	mark
6	transfer	VERB	3	xcomp
7	a	DET	8	det
8	sum	NOUN	6	obj
9	equaling	VERB	8	acl
10	ten	NUM	15	nummod
11	to	ADP	14	case
12	twenty	NUM	14	compound
13	-	PUNCT	14	punct
14	five	NUM	10	nmod
15	percent	NOUN	9	obj
16	(	PUNCT	20	punct
17	10	NUM	20	nummod
18	-	SYM	19	case
19	25	NUM	17	nmod
20	%	SYM	15	appos
21	)	PUNCT	20	punct
22	of	ADP	25	case
23	your	PRON	25	nmod:poss
24	yearly	ADJ	25	amod
25	income	NOUN	15	nmod
26	to	ADP	28	case
27	our	PRON	28	nmod:poss
28	account	NOUN	6	obl
29	to	PART	30	mark
30	aid	VERB	6	advcl
31	in	ADP	34	case
32	this	DET	34	det
33	important	ADJ	34	amod
34	venture	NOUN	30	obl
35	.	PUNCT	3	punct