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:
(Most Salafis are not militant or violent, though they tend to be rather narrow-minded in my experience, on the order of Protestant Pietists).
Postion	Tokenization
1	(
2	Most
3	Salafis
4	are
5	not
6	militant
7	or
8	violent
9	,
10	though
11	they
12	tend
13	to
14	be
15	rather
16	narrow
17	-
18	minded
19	in
20	my
21	experience
22	,
23	on
24	the
25	order
26	of
27	Protestant
28	Pietists
29	)
30	.
Position	Tokenization	UPOS	Head	Deprel
1	(	PUNCT	6	punct
2	Most	ADJ	3	amod
3	Salafis	PROPN	6	nsubj
4	are	AUX	6	cop
5	not	PART	6	advmod
6	militant	ADJ	0	root
7	or	CCONJ	8	cc
8	violent	ADJ	6	conj
9	,	PUNCT	6	punct
10	though	SCONJ	12	mark
11	they	PRON	12	nsubj
12	tend	VERB	6	advcl
13	to	PART	18	mark
14	be	AUX	18	cop
15	rather	ADV	18	advmod
16	narrow	ADJ	18	amod
17	-	PUNCT	18	punct
18	minded	ADJ	12	xcomp
19	in	ADP	21	case
20	my	PRON	21	nmod:poss
21	experience	NOUN	18	obl
22	,	PUNCT	18	punct
23	on	ADP	25	case
24	the	DET	25	det
25	order	NOUN	18	obl
26	of	ADP	28	case
27	Protestant	PROPN	28	compound
28	Pietists	NOUN	25	nmod
29	)	PUNCT	6	punct
30	.	PUNCT	6	punct