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:
This circle operates mostly through mosques, madrasas and other religious establishments but also through inciting electronic and printed media.
Postion	Tokenization
1	This
2	circle
3	operates
4	mostly
5	through
6	mosques
7	,
8	madrasas
9	and
10	other
11	religious
12	establishments
13	but
14	also
15	through
16	inciting
17	electronic
18	and
19	printed
20	media
21	.
Position	Tokenization	UPOS	Head	Deprel
1	This	DET	2	det
2	circle	NOUN	3	nsubj
3	operates	VERB	0	root
4	mostly	ADV	6	advmod
5	through	ADP	6	case
6	mosques	NOUN	3	obl
7	,	PUNCT	8	punct
8	madrasas	NOUN	6	conj
9	and	CCONJ	12	cc
10	other	ADJ	12	amod
11	religious	ADJ	12	amod
12	establishments	NOUN	6	conj
13	but	CCONJ	16	cc
14	also	ADV	16	advmod
15	through	ADP	16	mark
16	inciting	VERB	6	conj
17	electronic	ADJ	20	amod
18	and	CCONJ	19	cc
19	printed	VERB	17	conj
20	media	NOUN	16	obj
21	.	PUNCT	3	punct