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:
According to the Pakistan reports, Aafia Siddiqui was detained after being spotted at Karachi International airport (after she was followed to a relative's house).
Postion	Tokenization
1	According
2	to
3	the
4	Pakistan
5	reports
6	,
7	Aafia
8	Siddiqui
9	was
10	detained
11	after
12	being
13	spotted
14	at
15	Karachi
16	International
17	airport
18	(
19	after
20	she
21	was
22	followed
23	to
24	a
25	relative's
26	relative
27	's
28	house
29	)
30	.
Position	Tokenization	UPOS	Head	Deprel
1	According	VERB	5	case
2	to	ADP	5	case
3	the	DET	5	det
4	Pakistan	PROPN	5	compound
5	reports	NOUN	10	obl
6	,	PUNCT	10	punct
7	Aafia	PROPN	10	nsubj:pass
8	Siddiqui	PROPN	7	flat
9	was	AUX	10	aux:pass
10	detained	VERB	0	root
11	after	SCONJ	13	mark
12	being	AUX	13	aux:pass
13	spotted	VERB	10	advcl
14	at	ADP	17	case
15	Karachi	PROPN	17	compound
16	International	PROPN	17	compound
17	airport	PROPN	13	obl
18	(	PUNCT	22	punct
19	after	SCONJ	22	mark
20	she	PRON	22	nsubj:pass
21	was	AUX	22	aux:pass
22	followed	VERB	10	advcl
23	to	ADP	27	case
24	a	DET	25	det
25	relative's	_	None	_
26	relative	NOUN	27	nmod:poss
27	's	PART	25	case
28	house	NOUN	22	obl
29	)	PUNCT	22	punct
30	.	PUNCT	10	punct