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:
In addition, there is a reduction of 22,101MMBTU which is the difference between the SCADA values (Best Available) that Anita showed on the February 29th Storage Sheet and the "official" February 29th values that Gary Wilson received from MIPS.
Postion	Tokenization
1	In
2	addition
3	,
4	there
5	is
6	a
7	reduction
8	of
9	22,101
10	MMBTU
11	which
12	is
13	the
14	difference
15	between
16	the
17	SCADA
18	values
19	(
20	Best
21	Available
22	)
23	that
24	Anita
25	showed
26	on
27	the
28	February
29	29th
30	Storage
31	Sheet
32	and
33	the
34	"
35	official
36	"
37	February
38	29th
39	values
40	that
41	Gary
42	Wilson
43	received
44	from
45	MIPS
46	.
Position	Tokenization	UPOS	Head	Deprel
1	In	ADP	2	case
2	addition	NOUN	5	obl
3	,	PUNCT	5	punct
4	there	PRON	5	expl
5	is	VERB	0	root
6	a	DET	7	det
7	reduction	NOUN	5	nsubj
8	of	ADP	10	case
9	22,101	NUM	10	nummod
10	MMBTU	NOUN	7	nmod
11	which	PRON	14	nsubj
12	is	AUX	14	cop
13	the	DET	14	det
14	difference	NOUN	10	acl:relcl
15	between	ADP	18	case
16	the	DET	18	det
17	SCADA	NOUN	18	compound
18	values	NOUN	14	nmod
19	(	PUNCT	21	punct
20	Best	ADJ	21	advmod
21	Available	ADJ	18	appos
22	)	PUNCT	21	punct
23	that	PRON	25	obj
24	Anita	PROPN	25	nsubj
25	showed	VERB	18	acl:relcl
26	on	ADP	31	case
27	the	DET	31	det
28	February	PROPN	31	compound
29	29th	NOUN	28	nummod
30	Storage	NOUN	31	compound
31	Sheet	NOUN	25	obl
32	and	CCONJ	39	cc
33	the	DET	39	det
34	"	PUNCT	39	punct
35	official	ADJ	39	amod
36	"	PUNCT	39	punct
37	February	PROPN	39	compound
38	29th	NOUN	37	nummod
39	values	NOUN	18	conj
40	that	PRON	43	obj
41	Gary	PROPN	43	nsubj
42	Wilson	PROPN	41	flat
43	received	VERB	39	acl:relcl
44	from	ADP	45	case
45	MIPS	NOUN	43	obl
46	.	PUNCT	5	punct