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 risk of losing business is far greater than the risk of a counterparty trying to get their premium back.
Postion	Tokenization
1	the
2	risk
3	of
4	losing
5	business
6	is
7	far
8	greater
9	than
10	the
11	risk
12	of
13	a
14	counterparty
15	trying
16	to
17	get
18	their
19	premium
20	back
21	.
Position	Tokenization	UPOS	Head	Deprel
1	the	DET	2	det
2	risk	NOUN	8	nsubj
3	of	SCONJ	4	mark
4	losing	VERB	2	acl
5	business	NOUN	4	obj
6	is	AUX	8	cop
7	far	ADV	8	advmod
8	greater	ADJ	0	root
9	than	ADP	11	case
10	the	DET	11	det
11	risk	NOUN	8	obl
12	of	ADP	14	case
13	a	DET	14	det
14	counterparty	NOUN	11	nmod
15	trying	VERB	14	acl
16	to	PART	17	mark
17	get	VERB	15	xcomp
18	their	PRON	19	nmod:poss
19	premium	NOUN	17	obj
20	back	ADP	17	compound:prt
21	.	PUNCT	8	punct