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 just wanted to follow up on whether you will have a chance to send a draft Credit Support Annex (similar in form to the one previously executed with ENA).
Postion	Tokenization
1	I
2	just
3	wanted
4	to
5	follow
6	up
7	on
8	whether
9	you
10	will
11	have
12	a
13	chance
14	to
15	send
16	a
17	draft
18	Credit
19	Support
20	Annex
21	(
22	similar
23	in
24	form
25	to
26	the
27	one
28	previously
29	executed
30	with
31	ENA
32	)
33	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	3	nsubj
2	just	ADV	3	advmod
3	wanted	VERB	0	root
4	to	PART	5	mark
5	follow	VERB	3	xcomp
6	up	ADP	5	compound:prt
7	on	SCONJ	11	mark
8	whether	SCONJ	11	mark
9	you	PRON	11	nsubj
10	will	AUX	11	aux
11	have	VERB	5	ccomp
12	a	DET	13	det
13	chance	NOUN	11	obj
14	to	PART	15	mark
15	send	VERB	13	acl
16	a	DET	20	det
17	draft	NOUN	20	compound
18	Credit	NOUN	19	compound
19	Support	NOUN	20	compound
20	Annex	NOUN	15	obj
21	(	PUNCT	22	punct
22	similar	ADJ	20	amod
23	in	ADP	24	case
24	form	NOUN	22	obl
25	to	ADP	27	case
26	the	DET	27	det
27	one	NOUN	22	obl
28	previously	ADV	29	advmod
29	executed	VERB	27	acl
30	with	ADP	31	case
31	ENA	PROPN	29	obl
32	)	PUNCT	22	punct
33	.	PUNCT	3	punct