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:
There are rumours about preparations by slum dwellers for another looting spree against banks, governmental and public property similar to the one that took place last April, and I have already overheard youngsters in my neighbourhood joking about it and saying things like "This time we will be the first to loot, we didn't get anything the last time".
Postion	Tokenization
1	There
2	are
3	rumours
4	about
5	preparations
6	by
7	slum
8	dwellers
9	for
10	another
11	looting
12	spree
13	against
14	banks
15	,
16	governmental
17	and
18	public
19	property
20	similar
21	to
22	the
23	one
24	that
25	took
26	place
27	last
28	April
29	,
30	and
31	I
32	have
33	already
34	overheard
35	youngsters
36	in
37	my
38	neighbourhood
39	joking
40	about
41	it
42	and
43	saying
44	things
45	like
46	"
47	This
48	time
49	we
50	will
51	be
52	the
53	first
54	to
55	loot
56	,
57	we
58	didn't
59	did
60	n't
61	get
62	anything
63	the
64	last
65	time
66	"
67	.
Position	Tokenization	UPOS	Head	Deprel
1	There	PRON	2	expl
2	are	VERB	0	root
3	rumours	NOUN	2	nsubj
4	about	ADP	5	case
5	preparations	NOUN	3	nmod
6	by	ADP	8	case
7	slum	NOUN	8	compound
8	dwellers	NOUN	5	nmod
9	for	ADP	12	case
10	another	DET	12	det
11	looting	NOUN	12	compound
12	spree	NOUN	5	nmod
13	against	ADP	14	case
14	banks	NOUN	12	nmod
15	,	PUNCT	14	punct
16	governmental	ADJ	19	amod
17	and	CCONJ	18	cc
18	public	ADJ	16	conj
19	property	NOUN	14	appos
20	similar	ADJ	12	amod
21	to	ADP	23	case
22	the	DET	23	det
23	one	NOUN	20	obl
24	that	PRON	25	nsubj
25	took	VERB	23	acl:relcl
26	place	NOUN	25	obj
27	last	ADJ	28	amod
28	April	PROPN	25	obl:tmod
29	,	PUNCT	34	punct
30	and	CCONJ	34	cc
31	I	PRON	34	nsubj
32	have	AUX	34	aux
33	already	ADV	34	advmod
34	overheard	VERB	2	conj
35	youngsters	NOUN	39	nsubj
36	in	ADP	38	case
37	my	PRON	38	nmod:poss
38	neighbourhood	NOUN	35	nmod
39	joking	VERB	34	ccomp
40	about	ADP	41	case
41	it	PRON	39	obl
42	and	CCONJ	43	cc
43	saying	VERB	39	conj
44	things	NOUN	43	obj
45	like	SCONJ	53	mark
46	"	PUNCT	53	punct
47	This	DET	48	det
48	time	NOUN	53	obl:tmod
49	we	PRON	53	nsubj
50	will	AUX	53	aux
51	be	AUX	53	cop
52	the	DET	53	det
53	first	ADJ	44	acl
54	to	PART	55	mark
55	loot	VERB	53	advcl
56	,	PUNCT	53	punct
57	we	PRON	60	nsubj
58	didn't	_	None	_
59	did	AUX	60	aux
60	n't	PART	60	advmod
61	get	VERB	53	parataxis
62	anything	PRON	60	obj
63	the	DET	64	det
64	last	ADJ	64	amod
65	time	NOUN	60	obl:tmod
66	"	PUNCT	53	punct
67	.	PUNCT	2	punct