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:
In regards to death metal, the problem is, once again, a question of education, history and the vacuous lack of perspective in American culture.
Postion	Tokenization
1	In
2	regards
3	to
4	death
5	metal
6	,
7	the
8	problem
9	is
10	,
11	once
12	again
13	,
14	a
15	question
16	of
17	education
18	,
19	history
20	and
21	the
22	vacuous
23	lack
24	of
25	perspective
26	in
27	American
28	culture
29	.
Position	Tokenization	UPOS	Head	Deprel
1	In	ADP	2	case
2	regards	NOUN	15	obl
3	to	ADP	5	case
4	death	NOUN	5	compound
5	metal	NOUN	2	nmod
6	,	PUNCT	15	punct
7	the	DET	8	det
8	problem	NOUN	15	nsubj
9	is	AUX	15	cop
10	,	PUNCT	15	punct
11	once	ADV	12	advmod
12	again	ADV	15	advmod
13	,	PUNCT	15	punct
14	a	DET	15	det
15	question	NOUN	0	root
16	of	ADP	17	case
17	education	NOUN	15	nmod
18	,	PUNCT	19	punct
19	history	NOUN	17	conj
20	and	CCONJ	23	cc
21	the	DET	23	det
22	vacuous	ADJ	23	amod
23	lack	NOUN	17	conj
24	of	ADP	25	case
25	perspective	NOUN	23	nmod
26	in	ADP	28	case
27	American	ADJ	28	amod
28	culture	NOUN	23	nmod
29	.	PUNCT	15	punct