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:
The only way to fight this new "popular" weapon is identical to the only way in which you fight organized crime or pirates on the high seas: the offensive way.
Postion	Tokenization
1	The
2	only
3	way
4	to
5	fight
6	this
7	new
8	"
9	popular
10	"
11	weapon
12	is
13	identical
14	to
15	the
16	only
17	way
18	in
19	which
20	you
21	fight
22	organized
23	crime
24	or
25	pirates
26	on
27	the
28	high
29	seas
30	:
31	the
32	offensive
33	way
34	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	3	det
2	only	ADJ	3	amod
3	way	NOUN	13	nsubj
4	to	PART	5	mark
5	fight	VERB	3	acl
6	this	DET	11	det
7	new	ADJ	11	amod
8	"	PUNCT	11	punct
9	popular	ADJ	11	amod
10	"	PUNCT	11	punct
11	weapon	NOUN	5	obj
12	is	AUX	13	cop
13	identical	ADJ	0	root
14	to	ADP	17	case
15	the	DET	17	det
16	only	ADJ	17	amod
17	way	NOUN	13	obl
18	in	ADP	19	case
19	which	PRON	21	obl
20	you	PRON	21	nsubj
21	fight	VERB	17	acl:relcl
22	organized	ADJ	23	amod
23	crime	NOUN	21	obj
24	or	CCONJ	25	cc
25	pirates	NOUN	23	conj
26	on	ADP	29	case
27	the	DET	29	det
28	high	ADJ	29	amod
29	seas	NOUN	25	nmod
30	:	PUNCT	17	punct
31	the	DET	33	det
32	offensive	ADJ	33	amod
33	way	NOUN	17	parataxis
34	.	PUNCT	13	punct