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:
Seems as if there is a clear distinction being made between the 'imaginary' Whore of Babalon and the actually Whore of Babylon, which is this global system.
Postion	Tokenization
1	Seems
2	as
3	if
4	there
5	is
6	a
7	clear
8	distinction
9	being
10	made
11	between
12	the
13	'
14	imaginary
15	'
16	Whore
17	of
18	Babalon
19	and
20	the
21	actually
22	Whore
23	of
24	Babylon
25	,
26	which
27	is
28	this
29	global
30	system
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Seems	VERB	0	root
2	as	SCONJ	5	mark
3	if	SCONJ	5	mark
4	there	PRON	5	expl
5	is	VERB	1	advcl
6	a	DET	8	det
7	clear	ADJ	8	amod
8	distinction	NOUN	5	nsubj
9	being	AUX	10	aux:pass
10	made	VERB	8	acl
11	between	ADP	16	case
12	the	DET	16	det
13	'	PUNCT	16	punct
14	imaginary	ADJ	16	amod
15	'	PUNCT	16	punct
16	Whore	PROPN	8	nmod
17	of	ADP	18	case
18	Babalon	PROPN	16	nmod
19	and	CCONJ	22	cc
20	the	DET	22	det
21	actually	ADV	22	advmod
22	Whore	PROPN	16	conj
23	of	ADP	24	case
24	Babylon	PROPN	22	nmod
25	,	PUNCT	22	punct
26	which	PRON	30	nsubj
27	is	AUX	30	cop
28	this	DET	30	det
29	global	ADJ	30	amod
30	system	NOUN	22	acl:relcl
31	.	PUNCT	1	punct