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 police commander of Ninevah Province announced that bombings had declined 80 percent in Mosul, whereas there had been a big jump in the number of kidnappings.
Postion	Tokenization
1	The
2	police
3	commander
4	of
5	Ninevah
6	Province
7	announced
8	that
9	bombings
10	had
11	declined
12	80
13	percent
14	in
15	Mosul
16	,
17	whereas
18	there
19	had
20	been
21	a
22	big
23	jump
24	in
25	the
26	number
27	of
28	kidnappings
29	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	3	det
2	police	NOUN	3	compound
3	commander	NOUN	7	nsubj
4	of	ADP	6	case
5	Ninevah	PROPN	6	compound
6	Province	PROPN	3	nmod
7	announced	VERB	0	root
8	that	SCONJ	11	mark
9	bombings	NOUN	11	nsubj
10	had	AUX	11	aux
11	declined	VERB	7	ccomp
12	80	NUM	13	nummod
13	percent	NOUN	11	obj
14	in	ADP	15	case
15	Mosul	PROPN	11	obl
16	,	PUNCT	11	punct
17	whereas	SCONJ	20	mark
18	there	PRON	20	expl
19	had	AUX	20	aux
20	been	VERB	11	advcl
21	a	DET	23	det
22	big	ADJ	23	amod
23	jump	NOUN	20	nsubj
24	in	ADP	26	case
25	the	DET	26	det
26	number	NOUN	23	nmod
27	of	ADP	28	case
28	kidnappings	NOUN	26	nmod
29	.	PUNCT	7	punct