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:
The overwhelming majority of Muslims in Kashmir would be happy with such an outcome, except for the tiny jihadi segment patronized by the U.S. State Department and the Pakistan Army, which would like to even the score with India for their catastrophic defeat in Bangladesh in 1971.
Postion	Tokenization
1	The
2	overwhelming
3	majority
4	of
5	Muslims
6	in
7	Kashmir
8	would
9	be
10	happy
11	with
12	such
13	an
14	outcome
15	,
16	except
17	for
18	the
19	tiny
20	jihadi
21	segment
22	patronized
23	by
24	the
25	U.S.
26	State
27	Department
28	and
29	the
30	Pakistan
31	Army
32	,
33	which
34	would
35	like
36	to
37	even
38	the
39	score
40	with
41	India
42	for
43	their
44	catastrophic
45	defeat
46	in
47	Bangladesh
48	in
49	1971
50	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	3	det
2	overwhelming	ADJ	3	amod
3	majority	NOUN	10	nsubj
4	of	ADP	5	case
5	Muslims	PROPN	3	nmod
6	in	ADP	7	case
7	Kashmir	PROPN	5	nmod
8	would	AUX	10	aux
9	be	AUX	10	cop
10	happy	ADJ	0	root
11	with	ADP	14	case
12	such	DET	14	det:predet
13	an	DET	14	det
14	outcome	NOUN	10	obl
15	,	PUNCT	10	punct
16	except	ADP	21	case
17	for	ADP	21	case
18	the	DET	21	det
19	tiny	ADJ	21	amod
20	jihadi	ADJ	21	amod
21	segment	NOUN	10	obl
22	patronized	VERB	21	acl
23	by	ADP	27	case
24	the	DET	27	det
25	U.S.	PROPN	27	compound
26	State	PROPN	27	compound
27	Department	PROPN	22	obl
28	and	CCONJ	31	cc
29	the	DET	31	det
30	Pakistan	PROPN	31	compound
31	Army	PROPN	27	conj
32	,	PUNCT	21	punct
33	which	PRON	35	nsubj
34	would	AUX	35	aux
35	like	VERB	21	acl:relcl
36	to	PART	37	mark
37	even	VERB	35	xcomp
38	the	DET	39	det
39	score	NOUN	37	obj
40	with	ADP	41	case
41	India	PROPN	37	obl
42	for	ADP	45	case
43	their	PRON	45	nmod:poss
44	catastrophic	ADJ	45	amod
45	defeat	NOUN	37	obl
46	in	ADP	47	case
47	Bangladesh	PROPN	45	nmod
48	in	ADP	49	case
49	1971	NUM	45	nmod
50	.	PUNCT	10	punct