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 inner circles are primarily financed by terrorist states like Iran and Syria, until recently also by Iraq and Libya and earlier also by some of the Communist regimes.
Postion	Tokenization
1	The
2	inner
3	circles
4	are
5	primarily
6	financed
7	by
8	terrorist
9	states
10	like
11	Iran
12	and
13	Syria
14	,
15	until
16	recently
17	also
18	by
19	Iraq
20	and
21	Libya
22	and
23	earlier
24	also
25	by
26	some
27	of
28	the
29	Communist
30	regimes
31	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	3	det
2	inner	ADJ	3	amod
3	circles	NOUN	6	nsubj:pass
4	are	AUX	6	aux:pass
5	primarily	ADV	6	advmod
6	financed	VERB	0	root
7	by	ADP	9	case
8	terrorist	NOUN	9	compound
9	states	NOUN	6	obl
10	like	ADP	11	case
11	Iran	PROPN	9	nmod
12	and	CCONJ	13	cc
13	Syria	PROPN	11	conj
14	,	PUNCT	19	punct
15	until	ADP	16	case
16	recently	ADV	19	nmod
17	also	ADV	19	advmod
18	by	ADP	19	case
19	Iraq	PROPN	6	conj
20	and	CCONJ	21	cc
21	Libya	PROPN	19	conj
22	and	CCONJ	26	cc
23	earlier	ADV	26	advmod
24	also	ADV	26	advmod
25	by	ADP	26	case
26	some	DET	6	conj
27	of	ADP	30	case
28	the	DET	30	det
29	Communist	ADJ	30	amod
30	regimes	NOUN	26	nmod
31	.	PUNCT	6	punct