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:
The problem is that the vast silent majority of these Moslems are not part of the terror and the incitement, but they also do not stand up against it.
Postion	Tokenization
1	The
2	problem
3	is
4	that
5	the
6	vast
7	silent
8	majority
9	of
10	these
11	Moslems
12	are
13	not
14	part
15	of
16	the
17	terror
18	and
19	the
20	incitement
21	,
22	but
23	they
24	also
25	do
26	not
27	stand
28	up
29	against
30	it
31	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	2	det
2	problem	NOUN	3	nsubj
3	is	VERB	0	root
4	that	SCONJ	14	mark
5	the	DET	8	det
6	vast	ADJ	8	amod
7	silent	ADJ	8	amod
8	majority	NOUN	14	nsubj
9	of	ADP	11	case
10	these	DET	11	det
11	Moslems	PROPN	8	nmod
12	are	AUX	14	cop
13	not	PART	14	advmod
14	part	NOUN	3	ccomp
15	of	ADP	17	case
16	the	DET	17	det
17	terror	NOUN	14	nmod
18	and	CCONJ	20	cc
19	the	DET	20	det
20	incitement	NOUN	17	conj
21	,	PUNCT	27	punct
22	but	CCONJ	27	cc
23	they	PRON	27	nsubj
24	also	ADV	27	advmod
25	do	AUX	27	aux
26	not	PART	27	advmod
27	stand	VERB	14	conj
28	up	ADP	27	compound:prt
29	against	ADP	30	case
30	it	PRON	27	obl
31	.	PUNCT	3	punct