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:
He said Mr Dar, 33, was arrested in Indian-administered Kashmir and belonged to the outlawed Lashkar-e-Toiba militant group.
Postion	Tokenization
1	He
2	said
3	Mr
4	Dar
5	,
6	33
7	,
8	was
9	arrested
10	in
11	Indian
12	-
13	administered
14	Kashmir
15	and
16	belonged
17	to
18	the
19	outlawed
20	Lashkar
21	-
22	e
23	-
24	Toiba
25	militant
26	group
27	.
Position	Tokenization	UPOS	Head	Deprel
1	He	PRON	2	nsubj
2	said	VERB	0	root
3	Mr	PROPN	4	compound
4	Dar	PROPN	9	nsubj:pass
5	,	PUNCT	4	punct
6	33	NUM	4	amod
7	,	PUNCT	9	punct
8	was	AUX	9	aux:pass
9	arrested	VERB	2	ccomp
10	in	ADP	14	case
11	Indian	ADJ	13	compound
12	-	PUNCT	13	punct
13	administered	VERB	14	amod
14	Kashmir	PROPN	9	obl
15	and	CCONJ	16	cc
16	belonged	VERB	9	conj
17	to	ADP	26	case
18	the	DET	26	det
19	outlawed	VERB	26	amod
20	Lashkar	PROPN	24	compound
21	-	PUNCT	24	punct
22	e	PROPN	24	compound
23	-	PUNCT	24	punct
24	Toiba	PROPN	26	compound
25	militant	ADJ	26	amod
26	group	NOUN	16	obl
27	.	PUNCT	2	punct