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:
Ramtanu Maitra writes for a number of international journals and is a regular contributor to the Washington-based EIR and the New Delhi-based Indian Defense Review.
Postion	Tokenization
1	Ramtanu
2	Maitra
3	writes
4	for
5	a
6	number
7	of
8	international
9	journals
10	and
11	is
12	a
13	regular
14	contributor
15	to
16	the
17	Washington
18	-
19	based
20	EIR
21	and
22	the
23	New
24	Delhi
25	-
26	based
27	Indian
28	Defense
29	Review
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Ramtanu	PROPN	3	nsubj
2	Maitra	PROPN	1	flat
3	writes	VERB	0	root
4	for	ADP	6	case
5	a	DET	6	det
6	number	NOUN	3	obl
7	of	ADP	9	case
8	international	ADJ	9	amod
9	journals	NOUN	6	nmod
10	and	CCONJ	14	cc
11	is	AUX	14	cop
12	a	DET	14	det
13	regular	ADJ	14	amod
14	contributor	NOUN	3	conj
15	to	ADP	20	case
16	the	DET	20	det
17	Washington	PROPN	19	obl:npmod
18	-	PUNCT	19	punct
19	based	VERB	20	amod
20	EIR	PROPN	14	nmod
21	and	CCONJ	29	cc
22	the	DET	29	det
23	New	PROPN	24	compound
24	Delhi	PROPN	26	compound
25	-	PUNCT	26	punct
26	based	VERB	29	amod
27	Indian	PROPN	29	compound
28	Defense	PROPN	29	compound
29	Review	PROPN	20	conj
30	.	PUNCT	3	punct