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:
But the norms of politics and diplomacy are childish, in comparison with the level of incitement and total absolute deliberate fabrications, which have reached new heights in the region we are talking about.
Postion	Tokenization
1	But
2	the
3	norms
4	of
5	politics
6	and
7	diplomacy
8	are
9	childish
10	,
11	in
12	comparison
13	with
14	the
15	level
16	of
17	incitement
18	and
19	total
20	absolute
21	deliberate
22	fabrications
23	,
24	which
25	have
26	reached
27	new
28	heights
29	in
30	the
31	region
32	we
33	are
34	talking
35	about
36	.
Position	Tokenization	UPOS	Head	Deprel
1	But	CCONJ	9	cc
2	the	DET	3	det
3	norms	NOUN	9	nsubj
4	of	ADP	5	case
5	politics	NOUN	3	nmod
6	and	CCONJ	7	cc
7	diplomacy	NOUN	5	conj
8	are	AUX	9	cop
9	childish	ADJ	0	root
10	,	PUNCT	9	punct
11	in	ADP	12	case
12	comparison	NOUN	9	obl
13	with	ADP	15	case
14	the	DET	15	det
15	level	NOUN	12	nmod
16	of	ADP	17	case
17	incitement	NOUN	15	nmod
18	and	CCONJ	22	cc
19	total	ADJ	22	amod
20	absolute	ADJ	22	amod
21	deliberate	ADJ	22	amod
22	fabrications	NOUN	17	conj
23	,	PUNCT	26	punct
24	which	PRON	26	nsubj
25	have	AUX	26	aux
26	reached	VERB	22	acl:relcl
27	new	ADJ	28	amod
28	heights	NOUN	26	obj
29	in	ADP	31	case
30	the	DET	31	det
31	region	NOUN	26	obl
32	we	PRON	34	nsubj
33	are	AUX	34	aux
34	talking	VERB	31	acl:relcl
35	about	ADP	34	obl
36	.	PUNCT	9	punct