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:
$44m- Amount the Bush-Cheney 2000 campaign and the Republican National Committee received in contributions from the fossil fuel, chemical, timber, and mining industries.
Postion	Tokenization
1	$
2	44
3	m
4	-
5	Amount
6	the
7	Bush
8	-
9	Cheney
10	2000
11	campaign
12	and
13	the
14	Republican
15	National
16	Committee
17	received
18	in
19	contributions
20	from
21	the
22	fossil
23	fuel
24	,
25	chemical
26	,
27	timber
28	,
29	and
30	mining
31	industries
32	.
Position	Tokenization	UPOS	Head	Deprel
1	$	SYM	0	root
2	44	NUM	3	compound
3	m	NUM	1	nummod
4	-	PUNCT	1	punct
5	Amount	NOUN	1	appos
6	the	DET	11	det
7	Bush	PROPN	9	compound
8	-	PUNCT	9	punct
9	Cheney	PROPN	11	compound
10	2000	NUM	11	nmod:tmod
11	campaign	NOUN	17	nsubj
12	and	CCONJ	16	cc
13	the	DET	16	det
14	Republican	PROPN	16	compound
15	National	PROPN	16	compound
16	Committee	PROPN	11	conj
17	received	VERB	5	acl:relcl
18	in	ADP	19	case
19	contributions	NOUN	17	obl
20	from	ADP	31	case
21	the	DET	31	det
22	fossil	NOUN	23	compound
23	fuel	NOUN	31	compound
24	,	PUNCT	25	punct
25	chemical	NOUN	23	conj
26	,	PUNCT	27	punct
27	timber	NOUN	23	conj
28	,	PUNCT	30	punct
29	and	CCONJ	30	cc
30	mining	NOUN	23	conj
31	industries	NOUN	17	obl
32	.	PUNCT	1	punct