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 drafted the Into TVA Option as a series of calls tied to the MOPA delivery term and quantity - not sure if this anything close to what you all had in mind.
Postion	Tokenization
1	I
2	drafted
3	the
4	Into
5	TVA
6	Option
7	as
8	a
9	series
10	of
11	calls
12	tied
13	to
14	the
15	MOPA
16	delivery
17	term
18	and
19	quantity
20	-
21	not
22	sure
23	if
24	this
25	anything
26	close
27	to
28	what
29	you
30	all
31	had
32	in
33	mind
34	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	drafted	VERB	0	root
3	the	DET	6	det
4	Into	ADP	5	case
5	TVA	NOUN	6	compound
6	Option	NOUN	2	obj
7	as	ADP	9	case
8	a	DET	9	det
9	series	NOUN	2	obl
10	of	ADP	11	case
11	calls	NOUN	9	nmod
12	tied	VERB	11	acl
13	to	ADP	17	case
14	the	DET	17	det
15	MOPA	NOUN	17	compound
16	delivery	NOUN	17	compound
17	term	NOUN	12	obl
18	and	CCONJ	19	cc
19	quantity	NOUN	17	conj
20	-	PUNCT	22	punct
21	not	PART	22	advmod
22	sure	ADJ	2	parataxis
23	if	SCONJ	25	mark
24	this	PRON	25	nsubj
25	anything	PRON	22	ccomp
26	close	ADJ	25	amod
27	to	SCONJ	28	case
28	what	PRON	26	obl
29	you	PRON	31	nsubj
30	all	DET	29	det
31	had	VERB	28	acl:relcl
32	in	ADP	33	case
33	mind	NOUN	31	obl
34	.	PUNCT	2	punct