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:
$300m - Amount cut from the federal programme that provides subsidies to poor families so they can heat their homes.
Postion	Tokenization
1	$
2	300
3	m
4	-
5	Amount
6	cut
7	from
8	the
9	federal
10	programme
11	that
12	provides
13	subsidies
14	to
15	poor
16	families
17	so
18	they
19	can
20	heat
21	their
22	homes
23	.
Position	Tokenization	UPOS	Head	Deprel
1	$	SYM	0	root
2	300	NUM	3	compound
3	m	NUM	1	nummod
4	-	PUNCT	1	punct
5	Amount	NOUN	1	appos
6	cut	VERB	5	acl
7	from	ADP	10	case
8	the	DET	10	det
9	federal	ADJ	10	amod
10	programme	NOUN	6	obl
11	that	PRON	12	nsubj
12	provides	VERB	10	acl:relcl
13	subsidies	NOUN	12	obj
14	to	ADP	16	case
15	poor	ADJ	16	amod
16	families	NOUN	12	obl
17	so	SCONJ	20	mark
18	they	PRON	20	nsubj
19	can	AUX	20	aux
20	heat	VERB	12	advcl
21	their	PRON	22	nmod:poss
22	homes	NOUN	20	obj
23	.	PUNCT	1	punct