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 will probably be calling you next week-the desk wants me to become more involved in regulatory updates so I will seek your assistance with this matter.
Postion	Tokenization
1	I
2	will
3	probably
4	be
5	calling
6	you
7	next
8	week
9	-
10	the
11	desk
12	wants
13	me
14	to
15	become
16	more
17	involved
18	in
19	regulatory
20	updates
21	so
22	I
23	will
24	seek
25	your
26	assistance
27	with
28	this
29	matter
30	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	5	nsubj
2	will	AUX	5	aux
3	probably	ADV	5	advmod
4	be	AUX	5	aux
5	calling	VERB	0	root
6	you	PRON	5	obj
7	next	ADJ	8	amod
8	week	NOUN	5	obl:tmod
9	-	PUNCT	5	punct
10	the	DET	11	det
11	desk	NOUN	12	nsubj
12	wants	VERB	5	parataxis
13	me	PRON	12	obj
14	to	PART	15	mark
15	become	VERB	12	xcomp
16	more	ADV	15	advmod
17	involved	ADJ	15	xcomp
18	in	ADP	20	case
19	regulatory	ADJ	20	amod
20	updates	NOUN	17	obl
21	so	ADV	24	advmod
22	I	PRON	24	nsubj
23	will	AUX	24	aux
24	seek	VERB	12	parataxis
25	your	PRON	26	nmod:poss
26	assistance	NOUN	24	obj
27	with	ADP	29	case
28	this	DET	29	det
29	matter	NOUN	26	nmod
30	.	PUNCT	5	punct