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:
An Afghan official at the meeting added, ‘’The Americans now realise that the Taliban are a bigger threat to our security than Al Qaeda.’’
Postion	Tokenization
1	An
2	Afghan
3	official
4	at
5	the
6	meeting
7	added
8	,
9	‘’
10	The
11	Americans
12	now
13	realise
14	that
15	the
16	Taliban
17	are
18	a
19	bigger
20	threat
21	to
22	our
23	security
24	than
25	Al
26	Qaeda
27	.
28	’’
Position	Tokenization	UPOS	Head	Deprel
1	An	DET	3	det
2	Afghan	ADJ	3	amod
3	official	NOUN	7	nsubj
4	at	ADP	6	case
5	the	DET	6	det
6	meeting	NOUN	3	nmod
7	added	VERB	0	root
8	,	PUNCT	7	punct
9	‘’	PUNCT	7	punct
10	The	DET	11	det
11	Americans	PROPN	13	nsubj
12	now	ADV	13	advmod
13	realise	VERB	7	ccomp
14	that	SCONJ	20	mark
15	the	DET	16	det
16	Taliban	PROPN	20	nsubj
17	are	AUX	20	cop
18	a	DET	20	det
19	bigger	ADJ	20	amod
20	threat	NOUN	13	ccomp
21	to	ADP	23	case
22	our	PRON	23	nmod:poss
23	security	NOUN	20	nmod
24	than	ADP	26	case
25	Al	PROPN	26	compound
26	Qaeda	PROPN	20	nmod
27	.	PUNCT	7	punct
28	’’	PUNCT	7	punct