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:
In order to win, it is necessary to first eliminate the terrorist regimes, so that no Government in the world will serve as a safe haven for these people.
Postion	Tokenization
1	In
2	order
3	to
4	win
5	,
6	it
7	is
8	necessary
9	to
10	first
11	eliminate
12	the
13	terrorist
14	regimes
15	,
16	so
17	that
18	no
19	Government
20	in
21	the
22	world
23	will
24	serve
25	as
26	a
27	safe
28	haven
29	for
30	these
31	people
32	.
Position	Tokenization	UPOS	Head	Deprel
1	In	ADP	4	mark
2	order	NOUN	1	fixed
3	to	PART	4	mark
4	win	VERB	8	advmod
5	,	PUNCT	8	punct
6	it	PRON	8	expl
7	is	AUX	8	cop
8	necessary	ADJ	0	root
9	to	PART	11	mark
10	first	ADV	11	advmod
11	eliminate	VERB	8	csubj
12	the	DET	14	det
13	terrorist	ADJ	14	amod
14	regimes	NOUN	11	obj
15	,	PUNCT	11	punct
16	so	SCONJ	24	mark
17	that	SCONJ	16	fixed
18	no	DET	19	det
19	Government	NOUN	24	nsubj
20	in	ADP	22	case
21	the	DET	22	det
22	world	NOUN	19	nmod
23	will	AUX	24	aux
24	serve	VERB	11	advcl
25	as	ADP	28	case
26	a	DET	28	det
27	safe	ADJ	28	amod
28	haven	NOUN	24	obl
29	for	ADP	31	case
30	these	DET	31	det
31	people	NOUN	28	nmod
32	.	PUNCT	8	punct