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:
(I know, ignorant question) Then why call them, or any other phonies 'Christians', even if they themselves claim the appellation.
Postion	Tokenization
1	(
2	I
3	know
4	,
5	ignorant
6	question
7	)
8	Then
9	why
10	call
11	them
12	,
13	or
14	any
15	other
16	phonies
17	'
18	Christians
19	'
20	,
21	even
22	if
23	they
24	themselves
25	claim
26	the
27	appellation
28	.
Position	Tokenization	UPOS	Head	Deprel
1	(	PUNCT	3	punct
2	I	PRON	3	nsubj
3	know	VERB	0	root
4	,	PUNCT	3	punct
5	ignorant	ADJ	6	amod
6	question	NOUN	3	ccomp
7	)	PUNCT	3	punct
8	Then	ADV	10	advmod
9	why	SCONJ	10	mark
10	call	VERB	3	parataxis
11	them	PRON	10	obj
12	,	PUNCT	16	punct
13	or	CCONJ	16	cc
14	any	DET	16	det
15	other	ADJ	16	amod
16	phonies	NOUN	11	conj
17	'	PUNCT	18	punct
18	Christians	PROPN	10	xcomp
19	'	PUNCT	18	punct
20	,	PUNCT	10	punct
21	even	ADV	25	advmod
22	if	SCONJ	25	mark
23	they	PRON	25	nsubj
24	themselves	PRON	23	nmod:npmod
25	claim	VERB	10	advcl
26	the	DET	27	det
27	appellation	NOUN	25	obj
28	.	PUNCT	6	punct