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:
of course, in a perfect world, tax payers' money would go toward some sort of national healthcare program, and housing for the homeless, but this is far from a perfect world.
Postion	Tokenization
1	of
2	course
3	,
4	in
5	a
6	perfect
7	world
8	,
9	tax
10	payers
11	'
12	money
13	would
14	go
15	toward
16	some
17	sort
18	of
19	national
20	healthcare
21	program
22	,
23	and
24	housing
25	for
26	the
27	homeless
28	,
29	but
30	this
31	is
32	far
33	from
34	a
35	perfect
36	world
37	.
Position	Tokenization	UPOS	Head	Deprel
1	of	ADV	14	discourse
2	course	ADV	1	fixed
3	,	PUNCT	14	punct
4	in	ADP	7	case
5	a	DET	7	det
6	perfect	ADJ	7	amod
7	world	NOUN	14	obl
8	,	PUNCT	14	punct
9	tax	NOUN	10	compound
10	payers	NOUN	12	nmod:poss
11	'	PART	10	case
12	money	NOUN	14	nsubj
13	would	AUX	14	aux
14	go	VERB	0	root
15	toward	ADP	17	case
16	some	DET	17	det
17	sort	NOUN	14	obl
18	of	ADP	21	case
19	national	ADJ	21	amod
20	healthcare	NOUN	21	compound
21	program	NOUN	17	nmod
22	,	PUNCT	24	punct
23	and	CCONJ	24	cc
24	housing	NOUN	17	conj
25	for	ADP	27	case
26	the	DET	27	det
27	homeless	ADJ	24	nmod
28	,	PUNCT	32	punct
29	but	CCONJ	32	cc
30	this	PRON	32	nsubj
31	is	AUX	32	cop
32	far	ADJ	14	conj
33	from	ADP	36	case
34	a	DET	36	det
35	perfect	ADJ	36	amod
36	world	NOUN	32	obl
37	.	PUNCT	14	punct