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:
It is imperative that all of the information on the attached file is accurate, including titles, as this information is being given directly to John Lavorato and Louise Kitchen.
Postion	Tokenization
1	It
2	is
3	imperative
4	that
5	all
6	of
7	the
8	information
9	on
10	the
11	attached
12	file
13	is
14	accurate
15	,
16	including
17	titles
18	,
19	as
20	this
21	information
22	is
23	being
24	given
25	directly
26	to
27	John
28	Lavorato
29	and
30	Louise
31	Kitchen
32	.
Position	Tokenization	UPOS	Head	Deprel
1	It	PRON	3	nsubj
2	is	AUX	3	cop
3	imperative	ADJ	0	root
4	that	SCONJ	14	mark
5	all	DET	14	nsubj
6	of	ADP	8	case
7	the	DET	8	det
8	information	NOUN	5	nmod
9	on	ADP	12	case
10	the	DET	12	det
11	attached	VERB	12	amod
12	file	NOUN	8	nmod
13	is	AUX	14	cop
14	accurate	ADJ	3	ccomp
15	,	PUNCT	14	punct
16	including	VERB	17	case
17	titles	NOUN	14	obl
18	,	PUNCT	3	punct
19	as	SCONJ	24	mark
20	this	DET	21	det
21	information	NOUN	24	nsubj:pass
22	is	AUX	24	aux
23	being	AUX	24	aux:pass
24	given	VERB	3	advcl
25	directly	ADV	27	advmod
26	to	ADP	27	case
27	John	PROPN	24	obl
28	Lavorato	PROPN	27	flat
29	and	CCONJ	30	cc
30	Louise	PROPN	27	conj
31	Kitchen	PROPN	30	flat
32	.	PUNCT	3	punct