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:
All the regional countries have publicly backed the Karzai government and supported the electoral process, but serious undercurrents remain as they all have their favourite contenders in Afghanistan.
Postion	Tokenization
1	All
2	the
3	regional
4	countries
5	have
6	publicly
7	backed
8	the
9	Karzai
10	government
11	and
12	supported
13	the
14	electoral
15	process
16	,
17	but
18	serious
19	undercurrents
20	remain
21	as
22	they
23	all
24	have
25	their
26	favourite
27	contenders
28	in
29	Afghanistan
30	.
Position	Tokenization	UPOS	Head	Deprel
1	All	PUNCT	4	det:predet
2	the	DET	4	det
3	regional	ADJ	4	amod
4	countries	NOUN	7	nsubj
5	have	AUX	7	aux
6	publicly	ADV	7	advmod
7	backed	VERB	0	root
8	the	DET	9	det
9	Karzai	PROPN	7	obj
10	government	NOUN	9	flat
11	and	CCONJ	12	cc
12	supported	VERB	7	conj
13	the	DET	15	det
14	electoral	ADJ	15	amod
15	process	NOUN	12	obj
16	,	PUNCT	20	punct
17	but	CCONJ	20	cc
18	serious	ADJ	19	amod
19	undercurrents	NOUN	20	nsubj
20	remain	VERB	7	conj
21	as	SCONJ	24	mark
22	they	PRON	24	nsubj
23	all	DET	22	det
24	have	VERB	20	advcl
25	their	PRON	27	nmod:poss
26	favourite	ADJ	27	amod
27	contenders	NOUN	24	obj
28	in	ADP	29	case
29	Afghanistan	PROPN	27	nmod
30	.	PUNCT	7	punct