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:
In Baghdad Kadhim Talal Husain, assistant dean at the School of Education at Mustansiriyah University, was assassinated with his driver in the Salikh district.
Postion	Tokenization
1	In
2	Baghdad
3	Kadhim
4	Talal
5	Husain
6	,
7	assistant
8	dean
9	at
10	the
11	School
12	of
13	Education
14	at
15	Mustansiriyah
16	University
17	,
18	was
19	assassinated
20	with
21	his
22	driver
23	in
24	the
25	Salikh
26	district
27	.
Position	Tokenization	UPOS	Head	Deprel
1	In	ADP	2	case
2	Baghdad	PROPN	19	obl
3	Kadhim	PROPN	19	nsubj:pass
4	Talal	PROPN	3	flat
5	Husain	PROPN	3	flat
6	,	PUNCT	3	punct
7	assistant	ADJ	8	amod
8	dean	NOUN	3	appos
9	at	ADP	11	case
10	the	DET	11	det
11	School	PROPN	8	nmod
12	of	ADP	13	case
13	Education	PROPN	11	nmod
14	at	ADP	16	case
15	Mustansiriyah	PROPN	16	compound
16	University	PROPN	11	nmod
17	,	PUNCT	19	punct
18	was	AUX	19	aux:pass
19	assassinated	VERB	0	root
20	with	ADP	22	case
21	his	PRON	22	nmod:poss
22	driver	NOUN	19	obl
23	in	ADP	26	case
24	the	DET	26	det
25	Salikh	PROPN	26	compound
26	district	NOUN	19	obl
27	.	PUNCT	19	punct