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:
On the other, restrictions should be lifted on the mainstream Muslim League-N and Pakistan People's Party, who can defeat the MMA in fair elections if not hogtied by the secret police.
Postion	Tokenization
1	On
2	the
3	other
4	,
5	restrictions
6	should
7	be
8	lifted
9	on
10	the
11	mainstream
12	Muslim
13	League
14	-
15	N
16	and
17	Pakistan
18	People's
19	People
20	's
21	Party
22	,
23	who
24	can
25	defeat
26	the
27	MMA
28	in
29	fair
30	elections
31	if
32	not
33	hogtied
34	by
35	the
36	secret
37	police
38	.
Position	Tokenization	UPOS	Head	Deprel
1	On	ADP	3	case
2	the	DET	3	det
3	other	ADJ	8	obl
4	,	PUNCT	8	punct
5	restrictions	NOUN	8	nsubj:pass
6	should	AUX	8	aux
7	be	AUX	8	aux:pass
8	lifted	VERB	0	root
9	on	ADP	15	case
10	the	DET	15	det
11	mainstream	ADJ	15	amod
12	Muslim	PROPN	15	compound
13	League	PROPN	15	compound
14	-	PUNCT	15	punct
15	N	PROPN	8	obl
16	and	CCONJ	20	cc
17	Pakistan	PROPN	18	compound
18	People's	_	None	_
19	People	PROPN	20	nmod:poss
20	's	PART	18	case
21	Party	PROPN	15	conj
22	,	PUNCT	15	punct
23	who	PRON	24	nsubj
24	can	AUX	24	aux
25	defeat	VERB	15	acl:relcl
26	the	DET	26	det
27	MMA	PROPN	24	obj
28	in	ADP	29	case
29	fair	ADJ	29	amod
30	elections	NOUN	24	obl
31	if	SCONJ	32	mark
32	not	ADV	32	advmod
33	hogtied	VERB	24	advcl
34	by	ADP	36	case
35	the	DET	36	det
36	secret	ADJ	36	amod
37	police	NOUN	32	obl
38	.	PUNCT	8	punct