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 the post election scenario it is becoming abundantly clear that the Taliban do not have the support of the Afghan people nor the Afghan Pashtuns.
Postion	Tokenization
1	In
2	the
3	post
4	election
5	scenario
6	it
7	is
8	becoming
9	abundantly
10	clear
11	that
12	the
13	Taliban
14	do
15	not
16	have
17	the
18	support
19	of
20	the
21	Afghan
22	people
23	nor
24	the
25	Afghan
26	Pashtuns
27	.
Position	Tokenization	UPOS	Head	Deprel
1	In	ADP	5	case
2	the	DET	5	det
3	post	X	4	amod
4	election	ADJ	5	amod
5	scenario	NOUN	8	obl
6	it	PRON	8	expl
7	is	AUX	8	aux
8	becoming	VERB	0	root
9	abundantly	ADV	10	advmod
10	clear	ADJ	8	xcomp
11	that	SCONJ	16	mark
12	the	DET	13	det
13	Taliban	PROPN	16	nsubj
14	do	AUX	16	aux
15	not	PART	16	advmod
16	have	VERB	8	ccomp
17	the	DET	18	det
18	support	NOUN	16	obj
19	of	ADP	22	case
20	the	DET	22	det
21	Afghan	ADJ	22	amod
22	people	NOUN	18	nmod
23	nor	CCONJ	26	cc
24	the	DET	26	det
25	Afghan	ADJ	26	amod
26	Pashtuns	PROPN	22	conj
27	.	PUNCT	8	punct