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:
Hazim Al-Sha'lan, by the way, is the son of the late Sheikh of Al-Khaza'il in Diwaniya and has the potential to replace former information minister, M.S. Al-Sahaf, in his nonsensical media statements, which can be passed as jokes.
Postion	Tokenization
1	Hazim
2	Al
3	-
4	Sha'lan
5	,
6	by
7	the
8	way
9	,
10	is
11	the
12	son
13	of
14	the
15	late
16	Sheikh
17	of
18	Al
19	-
20	Khaza'il
21	in
22	Diwaniya
23	and
24	has
25	the
26	potential
27	to
28	replace
29	former
30	information
31	minister
32	,
33	M.S.
34	Al
35	-
36	Sahaf
37	,
38	in
39	his
40	nonsensical
41	media
42	statements
43	,
44	which
45	can
46	be
47	passed
48	as
49	jokes
50	.
Position	Tokenization	UPOS	Head	Deprel
1	Hazim	PROPN	12	nsubj
2	Al	PROPN	1	flat
3	-	PUNCT	1	punct
4	Sha'lan	PROPN	1	flat
5	,	PUNCT	12	punct
6	by	ADP	8	case
7	the	DET	8	det
8	way	NOUN	12	obl
9	,	PUNCT	12	punct
10	is	AUX	12	cop
11	the	DET	12	det
12	son	NOUN	0	root
13	of	ADP	16	case
14	the	DET	16	det
15	late	ADJ	16	amod
16	Sheikh	PROPN	12	nmod
17	of	ADP	18	case
18	Al	PROPN	16	nmod
19	-	PUNCT	18	punct
20	Khaza'il	PROPN	18	flat
21	in	ADP	22	case
22	Diwaniya	PROPN	18	nmod
23	and	CCONJ	24	cc
24	has	VERB	12	conj
25	the	DET	26	det
26	potential	NOUN	24	obj
27	to	PART	28	mark
28	replace	VERB	26	acl
29	former	ADJ	31	amod
30	information	NOUN	31	compound
31	minister	NOUN	33	compound
32	,	PUNCT	33	punct
33	M.S.	PROPN	28	obj
34	Al	PROPN	33	flat
35	-	PUNCT	33	punct
36	Sahaf	PROPN	33	flat
37	,	PUNCT	28	punct
38	in	ADP	42	case
39	his	PRON	42	nmod:poss
40	nonsensical	ADJ	42	amod
41	media	NOUN	42	compound
42	statements	NOUN	28	obl
43	,	PUNCT	42	punct
44	which	PRON	47	nsubj:pass
45	can	AUX	47	aux
46	be	AUX	47	aux:pass
47	passed	VERB	42	acl:relcl
48	as	ADP	49	case
49	jokes	NOUN	47	obl
50	.	PUNCT	12	punct