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:
Unless New Delhi does better in providing security to its own nationals against rebels, secessionists, drug runners and arms traffickers, it will not generate much confidence in the capitals of surrounding nations.
Postion	Tokenization
1	Unless
2	New
3	Delhi
4	does
5	better
6	in
7	providing
8	security
9	to
10	its
11	own
12	nationals
13	against
14	rebels
15	,
16	secessionists
17	,
18	drug
19	runners
20	and
21	arms
22	traffickers
23	,
24	it
25	will
26	not
27	generate
28	much
29	confidence
30	in
31	the
32	capitals
33	of
34	surrounding
35	nations
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Unless	SCONJ	4	mark
2	New	PROPN	3	compound
3	Delhi	PROPN	4	nsubj
4	does	VERB	27	advcl
5	better	ADV	4	advmod
6	in	SCONJ	7	mark
7	providing	VERB	4	advcl
8	security	NOUN	7	obj
9	to	ADP	12	case
10	its	PRON	12	nmod:poss
11	own	ADJ	12	amod
12	nationals	NOUN	7	obl
13	against	ADP	14	case
14	rebels	NOUN	7	obl
15	,	PUNCT	16	punct
16	secessionists	NOUN	14	conj
17	,	PUNCT	19	punct
18	drug	NOUN	19	compound
19	runners	NOUN	14	conj
20	and	CCONJ	22	cc
21	arms	NOUN	22	compound
22	traffickers	NOUN	14	conj
23	,	PUNCT	27	punct
24	it	PRON	27	nsubj
25	will	AUX	27	aux
26	not	PART	27	advmod
27	generate	VERB	0	root
28	much	ADJ	29	amod
29	confidence	NOUN	27	obj
30	in	ADP	32	case
31	the	DET	32	det
32	capitals	NOUN	29	nmod
33	of	ADP	35	case
34	surrounding	VERB	35	amod
35	nations	NOUN	32	nmod
36	.	PUNCT	27	punct