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:
Steve, I noticed that our allocation from 2000 to 2001 is going up by 21% year on year (ie) $13.9M from $11.5M.
Postion	Tokenization
1	Steve
2	,
3	I
4	noticed
5	that
6	our
7	allocation
8	from
9	2000
10	to
11	2001
12	is
13	going
14	up
15	by
16	21
17	%
18	year
19	on
20	year
21	(
22	ie
23	)
24	$
25	13.9
26	M
27	from
28	$
29	11.5
30	M
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Steve	PROPN	4	vocative
2	,	PUNCT	4	punct
3	I	PRON	4	nsubj
4	noticed	VERB	0	root
5	that	SCONJ	13	mark
6	our	PRON	7	nmod:poss
7	allocation	NOUN	13	nsubj
8	from	ADP	9	case
9	2000	NUM	7	nmod
10	to	ADP	11	case
11	2001	NUM	9	nmod
12	is	AUX	13	aux
13	going	VERB	4	ccomp
14	up	ADV	13	advmod
15	by	ADP	17	case
16	21	NUM	17	nummod
17	%	SYM	13	obl
18	year	NOUN	13	obl:tmod
19	on	ADP	20	case
20	year	NOUN	18	nmod
21	(	PUNCT	22	punct
22	ie	X	24	advmod
23	)	PUNCT	22	punct
24	$	SYM	13	parataxis
25	13.9	NUM	26	compound
26	M	NUM	24	nummod
27	from	ADP	28	case
28	$	SYM	24	nmod
29	11.5	NUM	30	compound
30	M	NUM	28	nummod
31	.	PUNCT	4	punct