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:
We save $21,000 in real money this way, the cash refund Sun is giving Enron for our other server, using a box that wasn't being used by anyone.
Postion	Tokenization
1	We
2	save
3	$
4	21,000
5	in
6	real
7	money
8	this
9	way
10	,
11	the
12	cash
13	refund
14	Sun
15	is
16	giving
17	Enron
18	for
19	our
20	other
21	server
22	,
23	using
24	a
25	box
26	that
27	wasn't
28	was
29	n't
30	being
31	used
32	by
33	anyone
34	.
Position	Tokenization	UPOS	Head	Deprel
1	We	PRON	2	nsubj
2	save	VERB	0	root
3	$	SYM	2	obj
4	21,000	NUM	3	nummod
5	in	ADP	7	case
6	real	ADJ	7	amod
7	money	NOUN	3	nmod
8	this	DET	9	det
9	way	NOUN	2	obl:npmod
10	,	PUNCT	2	punct
11	the	DET	13	det
12	cash	NOUN	13	compound
13	refund	NOUN	2	parataxis
14	Sun	PROPN	16	nsubj
15	is	AUX	16	aux
16	giving	VERB	13	acl:relcl
17	Enron	PROPN	16	obj
18	for	ADP	21	case
19	our	PRON	21	nmod:poss
20	other	ADJ	21	amod
21	server	NOUN	16	obl
22	,	PUNCT	2	punct
23	using	VERB	2	advcl
24	a	DET	25	det
25	box	NOUN	23	obj
26	that	PRON	30	nsubj:pass
27	wasn't	_	None	_
28	was	AUX	30	aux
29	n't	PART	30	advmod
30	being	AUX	30	aux:pass
31	used	VERB	25	acl:relcl
32	by	ADP	32	case
33	anyone	PRON	30	obl
34	.	PUNCT	2	punct