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:
Huge amounts of money, which could have solved many social problems in this dysfunctional part of the world, are channeled into three concentric spheres supporting death and murder.
Postion	Tokenization
1	Huge
2	amounts
3	of
4	money
5	,
6	which
7	could
8	have
9	solved
10	many
11	social
12	problems
13	in
14	this
15	dysfunctional
16	part
17	of
18	the
19	world
20	,
21	are
22	channeled
23	into
24	three
25	concentric
26	spheres
27	supporting
28	death
29	and
30	murder
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Huge	ADJ	2	amod
2	amounts	NOUN	22	nsubj:pass
3	of	ADP	4	case
4	money	NOUN	2	nmod
5	,	PUNCT	2	punct
6	which	PRON	9	nsubj
7	could	AUX	9	aux
8	have	AUX	9	aux
9	solved	VERB	2	acl:relcl
10	many	ADJ	12	amod
11	social	ADJ	12	amod
12	problems	NOUN	9	obj
13	in	ADP	16	case
14	this	DET	16	det
15	dysfunctional	ADJ	16	amod
16	part	NOUN	9	obl
17	of	ADP	19	case
18	the	DET	19	det
19	world	NOUN	16	nmod
20	,	PUNCT	22	punct
21	are	AUX	22	aux:pass
22	channeled	VERB	0	root
23	into	ADP	26	case
24	three	NUM	26	nummod
25	concentric	ADJ	26	amod
26	spheres	NOUN	22	obl
27	supporting	VERB	26	acl
28	death	NOUN	27	obj
29	and	CCONJ	30	cc
30	murder	NOUN	28	conj
31	.	PUNCT	22	punct