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:
For the past 25 years landlocked Afghanistan has suffered from constant interference from its neighbours - Pakistan, Iran and the Central Asian Republics - and regional powers -Russia and India.
Postion	Tokenization
1	For
2	the
3	past
4	25
5	years
6	landlocked
7	Afghanistan
8	has
9	suffered
10	from
11	constant
12	interference
13	from
14	its
15	neighbours
16	-
17	Pakistan
18	,
19	Iran
20	and
21	the
22	Central
23	Asian
24	Republics
25	-
26	and
27	regional
28	powers
29	-
30	Russia
31	and
32	India
33	.
Position	Tokenization	UPOS	Head	Deprel
1	For	ADP	5	case
2	the	DET	5	det
3	past	ADJ	5	amod
4	25	NUM	5	nummod
5	years	NOUN	9	obl
6	landlocked	ADJ	7	amod
7	Afghanistan	PROPN	9	nsubj
8	has	AUX	9	aux
9	suffered	VERB	0	root
10	from	ADP	12	case
11	constant	ADJ	12	amod
12	interference	NOUN	9	obl
13	from	ADP	15	case
14	its	PRON	15	nmod:poss
15	neighbours	NOUN	9	obl
16	-	PUNCT	15	punct
17	Pakistan	PROPN	15	appos
18	,	PUNCT	19	punct
19	Iran	PROPN	17	conj
20	and	CCONJ	24	cc
21	the	DET	24	det
22	Central	ADJ	24	amod
23	Asian	ADJ	24	amod
24	Republics	NOUN	17	conj
25	-	PUNCT	24	punct
26	and	CCONJ	28	cc
27	regional	ADJ	28	amod
28	powers	NOUN	15	conj
29	-	PUNCT	15	punct
30	Russia	PROPN	28	appos
31	and	CCONJ	32	cc
32	India	PROPN	30	conj
33	.	PUNCT	9	punct