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 am having a meeting with Vicki and Janet Dietrich on Thursday to discuss our view on the ability to extend our current contracts in CA (for customers already on DA).
Postion	Tokenization
1	I
2	am
3	having
4	a
5	meeting
6	with
7	Vicki
8	and
9	Janet
10	Dietrich
11	on
12	Thursday
13	to
14	discuss
15	our
16	view
17	on
18	the
19	ability
20	to
21	extend
22	our
23	current
24	contracts
25	in
26	CA
27	(
28	for
29	customers
30	already
31	on
32	DA
33	)
34	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	3	nsubj
2	am	AUX	3	aux
3	having	VERB	0	root
4	a	DET	5	det
5	meeting	NOUN	3	obj
6	with	ADP	7	case
7	Vicki	PROPN	5	nmod
8	and	CCONJ	9	cc
9	Janet	PROPN	7	conj
10	Dietrich	PROPN	9	flat
11	on	ADP	12	case
12	Thursday	PROPN	3	obl
13	to	PART	14	mark
14	discuss	VERB	3	advcl
15	our	PRON	16	nmod:poss
16	view	NOUN	14	obj
17	on	ADP	19	case
18	the	DET	19	det
19	ability	NOUN	16	nmod
20	to	PART	21	mark
21	extend	VERB	19	acl
22	our	PRON	24	nmod:poss
23	current	ADJ	24	amod
24	contracts	NOUN	21	obj
25	in	ADP	26	case
26	CA	PROPN	24	nmod
27	(	PUNCT	24	punct
28	for	ADP	29	case
29	customers	NOUN	24	nmod
30	already	ADV	29	acl:relcl
31	on	ADP	32	case
32	DA	NOUN	30	obl
33	)	PUNCT	24	punct
34	.	PUNCT	3	punct