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 propose we have a conference call with Bob Fagan on Fri July 20 at 1:00 pm Calgary time to discuss any areas of concern/confusion you may have.
Postion	Tokenization
1	I
2	propose
3	we
4	have
5	a
6	conference
7	call
8	with
9	Bob
10	Fagan
11	on
12	Fri
13	July
14	20
15	at
16	1:00
17	pm
18	Calgary
19	time
20	to
21	discuss
22	any
23	areas
24	of
25	concern
26	/
27	confusion
28	you
29	may
30	have
31	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	propose	VERB	0	root
3	we	PRON	4	nsubj
4	have	VERB	2	ccomp
5	a	DET	7	det
6	conference	NOUN	7	compound
7	call	NOUN	4	obj
8	with	ADP	9	case
9	Bob	PROPN	7	nmod
10	Fagan	PROPN	9	flat
11	on	ADP	12	case
12	Fri	PROPN	4	obl
13	July	PROPN	12	appos
14	20	NUM	13	nummod
15	at	ADP	17	case
16	1:00	NUM	17	nummod
17	pm	NOUN	4	obl
18	Calgary	PROPN	19	compound
19	time	NOUN	17	nmod:npmod
20	to	PART	21	mark
21	discuss	VERB	4	advcl
22	any	DET	23	det
23	areas	NOUN	21	obj
24	of	ADP	25	case
25	concern	NOUN	23	nmod
26	/	PUNCT	27	cc
27	confusion	NOUN	25	conj
28	you	PRON	30	nsubj
29	may	AUX	30	aux
30	have	VERB	23	acl:relcl
31	.	PUNCT	2	punct