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 MAKE MONEY NOT DEAL WITH BROKERS" Wow, can you believe in todays tough times this dealership would be looking for any way to move vehicles.
Postion	Tokenization
1	I
2	MAKE
3	MONEY
4	NOT
5	DEAL
6	WITH
7	BROKERS
8	"
9	Wow
10	,
11	can
12	you
13	believe
14	in
15	todays
16	today
17	s
18	tough
19	times
20	this
21	dealership
22	would
23	be
24	looking
25	for
26	any
27	way
28	to
29	move
30	vehicles
31	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	MAKE	VERB	0	root
3	MONEY	NOUN	2	obj
4	NOT	CCONJ	5	cc
5	DEAL	VERB	2	conj
6	WITH	ADP	7	case
7	BROKERS	NOUN	5	obl
8	"	PUNCT	2	punct
9	Wow	INTJ	13	discourse
10	,	PUNCT	13	punct
11	can	AUX	13	aux
12	you	PRON	13	nsubj
13	believe	VERB	2	parataxis
14	in	ADP	18	case
15	todays	_	None	_
16	today	NOUN	18	nmod:poss
17	s	PART	15	case
18	tough	ADJ	18	amod
19	times	NOUN	23	obl
20	this	DET	20	det
21	dealership	NOUN	23	nsubj
22	would	AUX	23	aux
23	be	AUX	23	aux
24	looking	VERB	13	ccomp
25	for	ADP	26	case
26	any	DET	26	det
27	way	NOUN	23	obl
28	to	PART	28	mark
29	move	VERB	26	acl
30	vehicles	NOUN	28	obj
31	.	PUNCT	2	punct