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 Saudi regime, of course, will be the next victim of major terror, when the inner circle will explode into the outer circle.
Postion	Tokenization
1	The
2	Saudi
3	regime
4	,
5	of
6	course
7	,
8	will
9	be
10	the
11	next
12	victim
13	of
14	major
15	terror
16	,
17	when
18	the
19	inner
20	circle
21	will
22	explode
23	into
24	the
25	outer
26	circle
27	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	3	det
2	Saudi	ADJ	3	amod
3	regime	NOUN	12	nsubj
4	,	PUNCT	12	punct
5	of	ADV	12	advmod
6	course	ADV	5	fixed
7	,	PUNCT	12	punct
8	will	AUX	12	aux
9	be	AUX	12	cop
10	the	DET	12	det
11	next	ADJ	12	amod
12	victim	NOUN	0	root
13	of	ADP	15	case
14	major	ADJ	15	amod
15	terror	NOUN	12	nmod
16	,	PUNCT	12	punct
17	when	SCONJ	22	mark
18	the	DET	20	det
19	inner	ADJ	20	amod
20	circle	NOUN	22	nsubj
21	will	AUX	22	aux
22	explode	VERB	12	advcl
23	into	ADP	26	case
24	the	DET	26	det
25	outer	ADJ	26	amod
26	circle	NOUN	22	obl
27	.	PUNCT	12	punct