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 wanted to follow up with you regarding the creation and approval of ISDA Confirmations for the following equity trades that I understand Laurel had discussed with you previously.
Postion	Tokenization
1	I
2	wanted
3	to
4	follow
5	up
6	with
7	you
8	regarding
9	the
10	creation
11	and
12	approval
13	of
14	ISDA
15	Confirmations
16	for
17	the
18	following
19	equity
20	trades
21	that
22	I
23	understand
24	Laurel
25	had
26	discussed
27	with
28	you
29	previously
30	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	wanted	VERB	0	root
3	to	PART	4	mark
4	follow	VERB	2	xcomp
5	up	ADP	4	compound:prt
6	with	ADP	7	case
7	you	PRON	4	obl
8	regarding	VERB	10	case
9	the	DET	10	det
10	creation	NOUN	4	obl
11	and	CCONJ	12	cc
12	approval	NOUN	10	conj
13	of	ADP	15	case
14	ISDA	NOUN	15	compound
15	Confirmations	NOUN	10	nmod
16	for	ADP	20	case
17	the	DET	20	det
18	following	VERB	20	amod
19	equity	NOUN	20	compound
20	trades	NOUN	15	nmod
21	that	PRON	23	obj
22	I	PRON	23	nsubj
23	understand	VERB	20	acl:relcl
24	Laurel	PROPN	26	nsubj
25	had	AUX	26	aux
26	discussed	VERB	23	ccomp
27	with	ADP	28	case
28	you	PRON	26	obl
29	previously	ADV	26	advmod
30	.	PUNCT	2	punct