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:
Nobody can claim that the interference of Afghanistan’s neighbours is over, but the elections will do much to strengthen Karzai and deal more firmly with neighbours’ interference.
Postion	Tokenization
1	Nobody
2	can
3	claim
4	that
5	the
6	interference
7	of
8	Afghanistan’s
9	Afghanistan
10	’s
11	neighbours
12	is
13	over
14	,
15	but
16	the
17	elections
18	will
19	do
20	much
21	to
22	strengthen
23	Karzai
24	and
25	deal
26	more
27	firmly
28	with
29	neighbours
30	’
31	interference
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Nobody	PRON	3	nsubj
2	can	AUX	3	aux
3	claim	VERB	0	root
4	that	SCONJ	12	mark
5	the	DET	6	det
6	interference	NOUN	12	nsubj
7	of	ADP	10	case
8	Afghanistan’s	_	None	_
9	Afghanistan	PROPN	10	nmod:poss
10	’s	PART	8	case
11	neighbours	NOUN	6	nmod
12	is	AUX	12	cop
13	over	ADV	3	ccomp
14	,	PUNCT	18	punct
15	but	CCONJ	18	cc
16	the	DET	16	det
17	elections	NOUN	18	nsubj
18	will	AUX	18	aux
19	do	VERB	3	conj
20	much	ADJ	18	obj
21	to	PART	21	mark
22	strengthen	VERB	19	acl
23	Karzai	PROPN	21	obj
24	and	CCONJ	24	cc
25	deal	VERB	21	conj
26	more	ADV	26	advmod
27	firmly	ADV	24	advmod
28	with	ADP	30	case
29	neighbours	NOUN	30	nmod:poss
30	’	PART	28	case
31	interference	NOUN	24	obl
32	.	PUNCT	3	punct