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:
Another bad step was the recent arrest of Sheikh Hassan Al-Lihabi, of the Lihaib tribe which is scattered between the governorates of Al-Anbar, Mosul and Salah Al-Din.
Postion	Tokenization
1	Another
2	bad
3	step
4	was
5	the
6	recent
7	arrest
8	of
9	Sheikh
10	Hassan
11	Al
12	-
13	Lihabi
14	,
15	of
16	the
17	Lihaib
18	tribe
19	which
20	is
21	scattered
22	between
23	the
24	governorates
25	of
26	Al
27	-
28	Anbar
29	,
30	Mosul
31	and
32	Salah
33	Al
34	-
35	Din
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Another	DET	3	det
2	bad	ADJ	3	amod
3	step	NOUN	7	nsubj
4	was	AUX	7	cop
5	the	DET	7	det
6	recent	ADJ	7	amod
7	arrest	NOUN	0	root
8	of	ADP	10	case
9	Sheikh	PROPN	10	compound
10	Hassan	PROPN	7	nmod
11	Al	PROPN	10	flat
12	-	PUNCT	10	punct
13	Lihabi	PROPN	10	flat
14	,	PUNCT	10	punct
15	of	ADP	18	case
16	the	DET	18	det
17	Lihaib	PROPN	18	compound
18	tribe	NOUN	10	nmod
19	which	PRON	21	nsubj:pass
20	is	AUX	21	aux:pass
21	scattered	VERB	18	acl:relcl
22	between	ADP	24	case
23	the	DET	24	det
24	governorates	NOUN	21	obl
25	of	ADP	28	case
26	Al	PROPN	28	compound
27	-	PUNCT	28	punct
28	Anbar	PROPN	24	nmod
29	,	PUNCT	30	punct
30	Mosul	PROPN	28	conj
31	and	CCONJ	35	cc
32	Salah	PROPN	35	compound
33	Al	PROPN	35	compound
34	-	PUNCT	35	punct
35	Din	PROPN	28	conj
36	.	PUNCT	7	punct