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:
i believe that NASA is a HUGE waste of tax payers' money, but there are so many huge wastes of tax payer monies, that i find it best not to think about it.
Postion	Tokenization
1	i
2	believe
3	that
4	NASA
5	is
6	a
7	HUGE
8	waste
9	of
10	tax
11	payers
12	'
13	money
14	,
15	but
16	there
17	are
18	so
19	many
20	huge
21	wastes
22	of
23	tax
24	payer
25	monies
26	,
27	that
28	i
29	find
30	it
31	best
32	not
33	to
34	think
35	about
36	it
37	.
Position	Tokenization	UPOS	Head	Deprel
1	i	PRON	2	nsubj
2	believe	VERB	0	root
3	that	SCONJ	8	mark
4	NASA	PROPN	8	nsubj
5	is	AUX	8	cop
6	a	DET	8	det
7	HUGE	ADJ	8	amod
8	waste	NOUN	2	ccomp
9	of	ADP	13	case
10	tax	NOUN	11	compound
11	payers	NOUN	13	nmod:poss
12	'	PART	11	case
13	money	NOUN	8	nmod
14	,	PUNCT	17	punct
15	but	CCONJ	17	cc
16	there	PRON	17	expl
17	are	VERB	2	conj
18	so	ADV	19	advmod
19	many	ADJ	21	amod
20	huge	ADJ	21	amod
21	wastes	NOUN	17	nsubj
22	of	ADP	25	case
23	tax	NOUN	24	compound
24	payer	NOUN	25	compound
25	monies	NOUN	21	nmod
26	,	PUNCT	21	punct
27	that	SCONJ	29	mark
28	i	PRON	29	nsubj
29	find	VERB	18	advcl
30	it	PRON	34	expl
31	best	ADJ	29	xcomp
32	not	ADV	34	advmod
33	to	PART	34	mark
34	think	VERB	29	ccomp
35	about	ADP	36	case
36	it	PRON	34	obl
37	.	PUNCT	2	punct