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:
(not church morality, no that is phoney, love thy neighbor ... hell no, kill thy neighbor - now that is REAL MORALITY ?????)
Postion	Tokenization
1	(
2	not
3	church
4	morality
5	,
6	no
7	that
8	is
9	phoney
10	,
11	love
12	thy
13	neighbor
14	...
15	hell
16	no
17	,
18	kill
19	thy
20	neighbor
21	-
22	now
23	that
24	is
25	REAL
26	MORALITY
27	?????
28	)
Position	Tokenization	UPOS	Head	Deprel
1	(	PUNCT	4	punct
2	not	PART	4	advmod
3	church	NOUN	4	compound
4	morality	NOUN	0	root
5	,	PUNCT	4	punct
6	no	INTJ	9	discourse
7	that	PRON	9	nsubj
8	is	AUX	9	cop
9	phoney	ADJ	4	parataxis
10	,	PUNCT	4	punct
11	love	VERB	4	parataxis
12	thy	PRON	13	nmod:poss
13	neighbor	NOUN	11	obj
14	...	PUNCT	11	punct
15	hell	INTJ	4	discourse
16	no	INTJ	4	discourse
17	,	PUNCT	18	punct
18	kill	VERB	4	parataxis
19	thy	PRON	20	nmod:poss
20	neighbor	NOUN	18	obj
21	-	PUNCT	11	punct
22	now	ADV	26	advmod
23	that	PRON	26	nsubj
24	is	AUX	26	cop
25	REAL	ADJ	26	amod
26	MORALITY	NOUN	18	parataxis
27	?????	PUNCT	2	punct
28	)	PUNCT	2	punct