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:
But Bout's name isn't likely to be mentioned in whatever coverage this story receives, before it sinks like so many others beneath the media's frothing triviality.
Postion	Tokenization
1	But
2	Bout's
3	Bout
4	's
5	name
6	isn't
7	is
8	n't
9	likely
10	to
11	be
12	mentioned
13	in
14	whatever
15	coverage
16	this
17	story
18	receives
19	,
20	before
21	it
22	sinks
23	like
24	so
25	many
26	others
27	beneath
28	the
29	media's
30	media
31	's
32	frothing
33	triviality
34	.
Position	Tokenization	UPOS	Head	Deprel
1	But	CCONJ	7	cc
2	Bout's	_	None	_
3	Bout	PROPN	4	nmod:poss
4	's	PART	2	case
5	name	NOUN	7	nsubj
6	isn't	_	None	_
7	is	AUX	7	cop
8	n't	PART	7	advmod
9	likely	ADJ	0	root
10	to	PART	10	mark
11	be	AUX	10	aux:pass
12	mentioned	VERB	7	xcomp
13	in	SCONJ	13	case
14	whatever	DET	13	det
15	coverage	NOUN	10	obl
16	this	DET	15	det
17	story	NOUN	16	nsubj
18	receives	VERB	13	acl:relcl
19	,	PUNCT	10	punct
20	before	SCONJ	20	mark
21	it	PRON	20	nsubj
22	sinks	VERB	10	advcl
23	like	ADP	24	case
24	so	ADV	23	advmod
25	many	ADJ	24	amod
26	others	NOUN	20	obl
27	beneath	ADP	30	case
28	the	DET	27	det
29	media's	_	None	_
30	media	NOUN	30	nmod:poss
31	's	PART	27	case
32	frothing	VERB	30	amod
33	triviality	NOUN	20	obl
34	.	PUNCT	7	punct