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:
Since the article was specifically about "death metal" I guess the author missed this little tidbit or we just have waaaaaaaaaaaaay different definitions of morality:
Postion	Tokenization
1	Since
2	the
3	article
4	was
5	specifically
6	about
7	"
8	death
9	metal
10	"
11	I
12	guess
13	the
14	author
15	missed
16	this
17	little
18	tidbit
19	or
20	we
21	just
22	have
23	waaaaaaaaaaaaay
24	different
25	definitions
26	of
27	morality
28	:
Position	Tokenization	UPOS	Head	Deprel
1	Since	SCONJ	9	mark
2	the	DET	3	det
3	article	NOUN	9	nsubj
4	was	AUX	9	cop
5	specifically	ADV	9	advmod
6	about	ADP	9	case
7	"	PUNCT	9	punct
8	death	NOUN	9	compound
9	metal	NOUN	12	advcl
10	"	PUNCT	9	punct
11	I	PRON	12	nsubj
12	guess	VERB	0	root
13	the	DET	14	det
14	author	NOUN	15	nsubj
15	missed	VERB	12	ccomp
16	this	DET	18	det
17	little	ADJ	18	amod
18	tidbit	NOUN	15	obj
19	or	CCONJ	22	cc
20	we	PRON	22	nsubj
21	just	ADV	22	advmod
22	have	VERB	15	conj
23	waaaaaaaaaaaaay	ADV	24	advmod
24	different	ADJ	25	amod
25	definitions	NOUN	22	obj
26	of	ADP	27	case
27	morality	NOUN	25	nmod
28	:	PUNCT	12	punct