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:
This formidable enemy, which gave the Indian army a black eye in the mid-1980s, has been operating in northeastern India and in the Andaman Sea for a long time.
Postion	Tokenization
1	This
2	formidable
3	enemy
4	,
5	which
6	gave
7	the
8	Indian
9	army
10	a
11	black
12	eye
13	in
14	the
15	mid-1980s
16	,
17	has
18	been
19	operating
20	in
21	northeastern
22	India
23	and
24	in
25	the
26	Andaman
27	Sea
28	for
29	a
30	long
31	time
32	.
Position	Tokenization	UPOS	Head	Deprel
1	This	DET	3	det
2	formidable	ADJ	3	amod
3	enemy	NOUN	19	nsubj
4	,	PUNCT	3	punct
5	which	PRON	6	nsubj
6	gave	VERB	3	acl:relcl
7	the	DET	9	det
8	Indian	ADJ	9	amod
9	army	NOUN	6	iobj
10	a	DET	12	det
11	black	ADJ	12	amod
12	eye	NOUN	6	obj
13	in	ADP	15	case
14	the	DET	15	det
15	mid-1980s	NOUN	6	obl
16	,	PUNCT	19	punct
17	has	AUX	19	aux
18	been	AUX	19	aux
19	operating	VERB	0	root
20	in	ADP	22	case
21	northeastern	ADJ	22	amod
22	India	PROPN	19	obl
23	and	CCONJ	27	cc
24	in	ADP	27	case
25	the	DET	27	det
26	Andaman	PROPN	27	compound
27	Sea	PROPN	22	conj
28	for	ADP	31	case
29	a	DET	31	det
30	long	ADJ	31	amod
31	time	NOUN	19	obl
32	.	PUNCT	19	punct