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:
With the Taliban failure to disrupt the Afghan elections, the militants are even more isolated from the mainstream Taliban who want to return home.
Postion	Tokenization
1	With
2	the
3	Taliban
4	failure
5	to
6	disrupt
7	the
8	Afghan
9	elections
10	,
11	the
12	militants
13	are
14	even
15	more
16	isolated
17	from
18	the
19	mainstream
20	Taliban
21	who
22	want
23	to
24	return
25	home
26	.
Position	Tokenization	UPOS	Head	Deprel
1	With	ADP	4	case
2	the	DET	4	det
3	Taliban	PROPN	4	compound
4	failure	NOUN	16	obl
5	to	PART	6	mark
6	disrupt	VERB	4	acl
7	the	DET	9	det
8	Afghan	ADJ	9	amod
9	elections	NOUN	6	obj
10	,	PUNCT	16	punct
11	the	DET	12	det
12	militants	NOUN	16	nsubj
13	are	AUX	16	cop
14	even	ADV	15	advmod
15	more	ADV	16	advmod
16	isolated	ADJ	0	root
17	from	ADP	20	case
18	the	DET	20	det
19	mainstream	ADJ	20	amod
20	Taliban	PROPN	16	obl
21	who	PRON	22	nsubj
22	want	VERB	20	acl:relcl
23	to	PART	24	mark
24	return	VERB	22	xcomp
25	home	ADV	24	advmod
26	.	PUNCT	16	punct