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:
Yvan, and Ben, please provide answers to these question via written correspondence so that their is limited probability of misunderstanding.
Postion	Tokenization
1	Yvan
2	,
3	and
4	Ben
5	,
6	please
7	provide
8	answers
9	to
10	these
11	question
12	via
13	written
14	correspondence
15	so
16	that
17	their
18	is
19	limited
20	probability
21	of
22	misunderstanding
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Yvan	PROPN	7	vocative
2	,	PUNCT	4	punct
3	and	CCONJ	4	cc
4	Ben	PROPN	1	conj
5	,	PUNCT	7	punct
6	please	INTJ	7	discourse
7	provide	VERB	0	root
8	answers	NOUN	7	obj
9	to	ADP	11	case
10	these	DET	11	det
11	question	NOUN	8	nmod
12	via	ADP	14	case
13	written	VERB	14	amod
14	correspondence	NOUN	7	obl
15	so	SCONJ	18	mark
16	that	SCONJ	15	fixed
17	their	PRON	18	expl
18	is	VERB	7	advcl
19	limited	ADJ	20	amod
20	probability	NOUN	18	nsubj
21	of	ADP	22	case
22	misunderstanding	NOUN	20	nmod
23	.	PUNCT	7	punct