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:
In a highly significant move Afghan Pashtun tribes along the Pakistan border warned the Taliban in Quetta and Chaman that if they try and disrupt the elections, they would be resisted.
Postion	Tokenization
1	In
2	a
3	highly
4	significant
5	move
6	Afghan
7	Pashtun
8	tribes
9	along
10	the
11	Pakistan
12	border
13	warned
14	the
15	Taliban
16	in
17	Quetta
18	and
19	Chaman
20	that
21	if
22	they
23	try
24	and
25	disrupt
26	the
27	elections
28	,
29	they
30	would
31	be
32	resisted
33	.
Position	Tokenization	UPOS	Head	Deprel
1	In	ADP	5	case
2	a	DET	5	det
3	highly	ADV	4	advmod
4	significant	ADJ	5	amod
5	move	NOUN	13	obl
6	Afghan	ADJ	8	amod
7	Pashtun	ADJ	8	amod
8	tribes	NOUN	13	nsubj
9	along	ADP	12	case
10	the	DET	12	det
11	Pakistan	PROPN	12	compound
12	border	NOUN	8	nmod
13	warned	VERB	0	root
14	the	DET	15	det
15	Taliban	PROPN	13	obj
16	in	ADP	17	case
17	Quetta	PROPN	15	nmod
18	and	CCONJ	19	cc
19	Chaman	PROPN	17	conj
20	that	SCONJ	32	mark
21	if	SCONJ	23	mark
22	they	PRON	23	nsubj
23	try	VERB	32	advcl
24	and	CCONJ	25	cc
25	disrupt	VERB	23	conj
26	the	DET	27	det
27	elections	NOUN	25	obj
28	,	PUNCT	32	punct
29	they	PRON	32	nsubj:pass
30	would	AUX	32	aux
31	be	AUX	32	aux:pass
32	resisted	VERB	13	ccomp
33	.	PUNCT	13	punct