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 mass murder happening right now in Sudan, where the Arab Moslem regime is massacring its black Christian citizens, has nothing to do with Israel.
Postion	Tokenization
1	The
2	mass
3	murder
4	happening
5	right
6	now
7	in
8	Sudan
9	,
10	where
11	the
12	Arab
13	Moslem
14	regime
15	is
16	massacring
17	its
18	black
19	Christian
20	citizens
21	,
22	has
23	nothing
24	to
25	do
26	with
27	Israel
28	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	3	det
2	mass	ADJ	3	amod
3	murder	NOUN	22	nsubj
4	happening	VERB	3	acl
5	right	ADV	6	advmod
6	now	ADV	4	advmod
7	in	ADP	8	case
8	Sudan	PROPN	4	obl
9	,	PUNCT	8	punct
10	where	SCONJ	16	mark
11	the	DET	14	det
12	Arab	ADJ	14	amod
13	Moslem	ADJ	14	amod
14	regime	NOUN	16	nsubj
15	is	AUX	16	aux
16	massacring	VERB	8	acl:relcl
17	its	PRON	20	nmod:poss
18	black	ADJ	20	amod
19	Christian	ADJ	20	amod
20	citizens	NOUN	16	obj
21	,	PUNCT	22	punct
22	has	VERB	0	root
23	nothing	PRON	22	obj
24	to	PART	25	mark
25	do	VERB	23	acl
26	with	ADP	27	case
27	Israel	PROPN	25	obl
28	.	PUNCT	22	punct