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:
If al-Qaeda can kill Musharraf or instigate a military coup against him by Islamist junior officers, they can hope to catapult the MMA to power as political allies and hosts.
Postion	Tokenization
1	If
2	al
3	-
4	Qaeda
5	can
6	kill
7	Musharraf
8	or
9	instigate
10	a
11	military
12	coup
13	against
14	him
15	by
16	Islamist
17	junior
18	officers
19	,
20	they
21	can
22	hope
23	to
24	catapult
25	the
26	MMA
27	to
28	power
29	as
30	political
31	allies
32	and
33	hosts
34	.
Position	Tokenization	UPOS	Head	Deprel
1	If	SCONJ	6	mark
2	al	PROPN	4	compound
3	-	PUNCT	4	punct
4	Qaeda	PROPN	6	nsubj
5	can	AUX	6	aux
6	kill	VERB	22	advcl
7	Musharraf	PROPN	6	obj
8	or	CCONJ	9	cc
9	instigate	VERB	6	conj
10	a	DET	12	det
11	military	ADJ	12	amod
12	coup	NOUN	9	obj
13	against	ADP	14	case
14	him	PRON	12	nmod
15	by	ADP	18	case
16	Islamist	PROPN	18	compound
17	junior	ADJ	18	amod
18	officers	NOUN	12	nmod
19	,	PUNCT	22	punct
20	they	PRON	22	nsubj
21	can	AUX	22	aux
22	hope	VERB	0	root
23	to	PART	24	mark
24	catapult	VERB	22	xcomp
25	the	DET	26	det
26	MMA	PROPN	24	obj
27	to	ADP	28	case
28	power	NOUN	24	obl
29	as	ADP	31	case
30	political	ADJ	31	amod
31	allies	NOUN	24	obl
32	and	CCONJ	33	cc
33	hosts	NOUN	31	conj
34	.	PUNCT	22	punct