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:
With all the child predators out there, a busy road, cars speeding by...... and you are going to let some 4/5 year olds wonder around cause you're money hungry?
Postion	Tokenization
1	With
2	all
3	the
4	child
5	predators
6	out
7	there
8	,
9	a
10	busy
11	road
12	,
13	cars
14	speeding
15	by
16	......
17	and
18	you
19	are
20	going
21	to
22	let
23	some
24	4
25	/
26	5
27	year
28	olds
29	wonder
30	around
31	cause
32	you're
33	you
34	're
35	money
36	hungry
37	?
Position	Tokenization	UPOS	Head	Deprel
1	With	ADP	20	obl
2	all	DET	5	det:predet
3	the	DET	5	det
4	child	NOUN	5	compound
5	predators	NOUN	7	nsubj
6	out	ADV	7	advmod
7	there	ADV	20	parataxis
8	,	PUNCT	7	punct
9	a	DET	11	det
10	busy	ADJ	11	amod
11	road	NOUN	7	conj
12	,	PUNCT	7	punct
13	cars	NOUN	14	nsubj
14	speeding	VERB	7	conj
15	by	ADV	14	advmod
16	......	PUNCT	20	punct
17	and	CCONJ	20	cc
18	you	PRON	20	nsubj
19	are	AUX	20	aux
20	going	VERB	0	root
21	to	PART	22	mark
22	let	VERB	20	xcomp
23	some	DET	28	det
24	4	NUM	27	nummod
25	/	PUNCT	26	cc
26	5	NUM	24	conj
27	year	NOUN	28	compound
28	olds	NOUN	22	obj
29	wonder	VERB	22	xcomp
30	around	ADV	29	advmod
31	cause	SCONJ	35	mark
32	you're	_	None	_
33	you	PRON	35	nsubj
34	're	AUX	35	cop
35	money	NOUN	35	obl:npmod
36	hungry	ADJ	29	advcl
37	?	PUNCT	20	punct