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:
Simultaneously, New Delhi would ensure a degree of autonomy for the state that would help cut popular support off from jihadis attempting to convert Kashmir into a second Afghanistan.
Postion	Tokenization
1	Simultaneously
2	,
3	New
4	Delhi
5	would
6	ensure
7	a
8	degree
9	of
10	autonomy
11	for
12	the
13	state
14	that
15	would
16	help
17	cut
18	popular
19	support
20	off
21	from
22	jihadis
23	attempting
24	to
25	convert
26	Kashmir
27	into
28	a
29	second
30	Afghanistan
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Simultaneously	ADV	6	advmod
2	,	PUNCT	6	punct
3	New	PROPN	4	compound
4	Delhi	PROPN	6	nsubj
5	would	AUX	6	aux
6	ensure	VERB	0	root
7	a	DET	8	det
8	degree	NOUN	6	obj
9	of	ADP	10	case
10	autonomy	NOUN	8	nmod
11	for	ADP	13	case
12	the	DET	13	det
13	state	NOUN	8	nmod
14	that	PRON	16	nsubj
15	would	AUX	16	aux
16	help	VERB	8	acl:relcl
17	cut	VERB	16	xcomp
18	popular	ADJ	19	amod
19	support	NOUN	17	obj
20	off	ADP	17	compound:prt
21	from	ADP	22	case
22	jihadis	NOUN	17	obl
23	attempting	VERB	22	acl
24	to	PART	25	mark
25	convert	VERB	23	xcomp
26	Kashmir	PROPN	25	obj
27	into	ADP	30	case
28	a	DET	30	det
29	second	ADJ	30	amod
30	Afghanistan	PROPN	25	obl
31	.	PUNCT	6	punct