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:
One such murder, with the help of hysterical media coverage, can destroy the tourism industry of a country for quite a while, as it did in Bali and in Turkey.
Postion	Tokenization
1	One
2	such
3	murder
4	,
5	with
6	the
7	help
8	of
9	hysterical
10	media
11	coverage
12	,
13	can
14	destroy
15	the
16	tourism
17	industry
18	of
19	a
20	country
21	for
22	quite
23	a
24	while
25	,
26	as
27	it
28	did
29	in
30	Bali
31	and
32	in
33	Turkey
34	.
Position	Tokenization	UPOS	Head	Deprel
1	One	NUM	3	nummod
2	such	ADJ	3	amod
3	murder	NOUN	14	nsubj
4	,	PUNCT	14	punct
5	with	ADP	7	case
6	the	DET	7	det
7	help	NOUN	14	obl
8	of	ADP	11	case
9	hysterical	ADJ	11	amod
10	media	NOUN	11	compound
11	coverage	NOUN	7	nmod
12	,	PUNCT	14	punct
13	can	AUX	14	aux
14	destroy	VERB	0	root
15	the	DET	17	det
16	tourism	NOUN	17	compound
17	industry	NOUN	14	obj
18	of	ADP	20	case
19	a	DET	20	det
20	country	NOUN	17	nmod
21	for	ADP	24	case
22	quite	DET	24	det:predet
23	a	DET	24	det
24	while	NOUN	14	obl
25	,	PUNCT	14	punct
26	as	SCONJ	30	mark
27	it	PRON	30	nsubj
28	did	AUX	30	aux
29	in	ADP	30	case
30	Bali	PROPN	14	advcl
31	and	CCONJ	33	cc
32	in	ADP	33	case
33	Turkey	PROPN	30	conj
34	.	PUNCT	14	punct