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:
Two years ago, Pakistani President Pervez Musharraf was surprised when the leader of the main Islamist alliance -- Maulana Fazlur Rahman -- visited India and issued a series of highly conciliatory statements.
Postion	Tokenization
1	Two
2	years
3	ago
4	,
5	Pakistani
6	President
7	Pervez
8	Musharraf
9	was
10	surprised
11	when
12	the
13	leader
14	of
15	the
16	main
17	Islamist
18	alliance
19	--
20	Maulana
21	Fazlur
22	Rahman
23	--
24	visited
25	India
26	and
27	issued
28	a
29	series
30	of
31	highly
32	conciliatory
33	statements
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Two	NUM	2	nummod
2	years	NOUN	3	obl:npmod
3	ago	ADV	10	advmod
4	,	PUNCT	10	punct
5	Pakistani	ADJ	6	amod
6	President	PROPN	10	nsubj
7	Pervez	PROPN	6	flat
8	Musharraf	PROPN	6	flat
9	was	AUX	10	cop
10	surprised	ADJ	0	root
11	when	SCONJ	24	mark
12	the	DET	13	det
13	leader	NOUN	24	nsubj
14	of	ADP	18	case
15	the	DET	18	det
16	main	ADJ	18	amod
17	Islamist	PROPN	18	compound
18	alliance	NOUN	13	nmod
19	--	PUNCT	13	punct
20	Maulana	PROPN	13	appos
21	Fazlur	PROPN	20	flat
22	Rahman	PROPN	20	flat
23	--	PUNCT	13	punct
24	visited	VERB	10	advcl
25	India	PROPN	24	obj
26	and	CCONJ	27	cc
27	issued	VERB	24	conj
28	a	DET	29	det
29	series	NOUN	27	obj
30	of	ADP	33	case
31	highly	ADV	32	advmod
32	conciliatory	ADJ	33	amod
33	statements	NOUN	29	nmod
34	.	PUNCT	10	punct