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:
Al-Zaman : American forces killed Shaikh Abdullah al-Ani, the preacher at the mosque in the town of Qaim, near the Syrian border.
Postion	Tokenization
1	Al
2	-
3	Zaman
4	:
5	American
6	forces
7	killed
8	Shaikh
9	Abdullah
10	al
11	-
12	Ani
13	,
14	the
15	preacher
16	at
17	the
18	mosque
19	in
20	the
21	town
22	of
23	Qaim
24	,
25	near
26	the
27	Syrian
28	border
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Al	PROPN	0	root
2	-	PUNCT	1	punct
3	Zaman	PROPN	1	flat
4	:	PUNCT	1	punct
5	American	ADJ	6	amod
6	forces	NOUN	7	nsubj
7	killed	VERB	1	parataxis
8	Shaikh	PROPN	7	obj
9	Abdullah	PROPN	8	flat
10	al	PROPN	8	flat
11	-	PUNCT	8	punct
12	Ani	PROPN	8	flat
13	,	PUNCT	8	punct
14	the	DET	15	det
15	preacher	NOUN	8	appos
16	at	ADP	18	case
17	the	DET	18	det
18	mosque	NOUN	7	obl
19	in	ADP	21	case
20	the	DET	21	det
21	town	NOUN	18	nmod
22	of	ADP	23	case
23	Qaim	PROPN	21	nmod
24	,	PUNCT	21	punct
25	near	ADP	28	case
26	the	DET	28	det
27	Syrian	ADJ	28	amod
28	border	NOUN	21	nmod
29	.	PUNCT	1	punct