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 like to informally get together with you on Wednesday, July 18 at 11:45 am - 1:00 pm (max) to talk about your recruiting experience with Enron Canada.
Postion	Tokenization
1	I
2	would
3	like
4	to
5	informally
6	get
7	together
8	with
9	you
10	on
11	Wednesday
12	,
13	July
14	18
15	at
16	11:45
17	am
18	-
19	1:00
20	pm
21	(
22	max
23	)
24	to
25	talk
26	about
27	your
28	recruiting
29	experience
30	with
31	Enron
32	Canada
33	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	3	nsubj
2	would	AUX	3	aux
3	like	VERB	0	root
4	to	PART	6	mark
5	informally	ADV	6	advmod
6	get	VERB	3	xcomp
7	together	ADV	6	advmod
8	with	ADP	9	case
9	you	PRON	6	obl
10	on	ADP	11	case
11	Wednesday	PROPN	6	obl
12	,	PUNCT	11	punct
13	July	PROPN	11	appos
14	18	NUM	13	nummod
15	at	ADP	17	case
16	11:45	NUM	17	nummod
17	am	NOUN	6	obl
18	-	SYM	20	case
19	1:00	NUM	20	nummod
20	pm	NOUN	17	nmod
21	(	PUNCT	22	punct
22	max	NOUN	20	appos
23	)	PUNCT	22	punct
24	to	PART	25	mark
25	talk	VERB	6	advcl
26	about	ADP	29	case
27	your	PRON	29	nmod:poss
28	recruiting	NOUN	29	compound
29	experience	NOUN	25	obl
30	with	ADP	32	case
31	Enron	PROPN	32	compound
32	Canada	PROPN	29	nmod
33	.	PUNCT	3	punct