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:
Within this meager GDP, the gaps between rich and poor are beyond belief and too many of the rich made their money not by succeeding in business, but by being corrupt rulers.
Postion	Tokenization
1	Within
2	this
3	meager
4	GDP
5	,
6	the
7	gaps
8	between
9	rich
10	and
11	poor
12	are
13	beyond
14	belief
15	and
16	too
17	many
18	of
19	the
20	rich
21	made
22	their
23	money
24	not
25	by
26	succeeding
27	in
28	business
29	,
30	but
31	by
32	being
33	corrupt
34	rulers
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Within	ADP	4	case
2	this	DET	4	det
3	meager	ADJ	4	amod
4	GDP	PROPN	14	obl
5	,	PUNCT	14	punct
6	the	DET	7	det
7	gaps	NOUN	14	nsubj
8	between	ADP	9	case
9	rich	ADJ	7	nmod
10	and	CCONJ	11	cc
11	poor	ADJ	9	conj
12	are	AUX	14	cop
13	beyond	ADP	14	case
14	belief	NOUN	0	root
15	and	CCONJ	21	cc
16	too	ADV	17	advmod
17	many	ADJ	21	nsubj
18	of	ADP	20	case
19	the	DET	20	det
20	rich	ADJ	17	nmod
21	made	VERB	14	conj
22	their	PRON	23	nmod:poss
23	money	NOUN	21	obj
24	not	ADV	26	advmod
25	by	SCONJ	26	mark
26	succeeding	VERB	21	advcl
27	in	ADP	28	case
28	business	NOUN	26	obl
29	,	PUNCT	34	punct
30	but	CCONJ	34	cc
31	by	SCONJ	34	mark
32	being	AUX	34	cop
33	corrupt	ADJ	34	amod
34	rulers	NOUN	26	conj
35	.	PUNCT	14	punct