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:
Police in the Indian capital Delhi say they have arrested the suspected co-ordinator and financier of last month's deadly bomb blasts in the city.
Postion	Tokenization
1	Police
2	in
3	the
4	Indian
5	capital
6	Delhi
7	say
8	they
9	have
10	arrested
11	the
12	suspected
13	co-ordinator
14	and
15	financier
16	of
17	last
18	month's
19	month
20	's
21	deadly
22	bomb
23	blasts
24	in
25	the
26	city
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Police	NOUN	7	nsubj
2	in	ADP	5	case
3	the	DET	5	det
4	Indian	ADJ	5	amod
5	capital	NOUN	1	nmod
6	Delhi	PROPN	5	appos
7	say	VERB	0	root
8	they	PRON	10	nsubj
9	have	AUX	10	aux
10	arrested	VERB	7	ccomp
11	the	DET	13	det
12	suspected	VERB	13	amod
13	co-ordinator	NOUN	10	obj
14	and	CCONJ	15	cc
15	financier	NOUN	13	conj
16	of	ADP	22	case
17	last	ADJ	18	amod
18	month's	_	None	_
19	month	NOUN	22	nmod:poss
20	's	PART	18	case
21	deadly	ADJ	22	amod
22	bomb	NOUN	22	compound
23	blasts	NOUN	13	nmod
24	in	ADP	25	case
25	the	DET	25	det
26	city	NOUN	22	nmod
27	.	PUNCT	7	punct