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:
Our concern is that we don't want any trading related defaults to ever trigger a default under a loan transaction which has a swap as a component.
Postion	Tokenization
1	Our
2	concern
3	is
4	that
5	we
6	don't
7	do
8	n't
9	want
10	any
11	trading
12	related
13	defaults
14	to
15	ever
16	trigger
17	a
18	default
19	under
20	a
21	loan
22	transaction
23	which
24	has
25	a
26	swap
27	as
28	a
29	component
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Our	PRON	2	nmod:poss
2	concern	NOUN	3	nsubj
3	is	VERB	0	root
4	that	SCONJ	8	mark
5	we	PRON	8	nsubj
6	don't	_	None	_
7	do	AUX	8	aux
8	n't	PART	8	advmod
9	want	VERB	3	ccomp
10	any	DET	12	det
11	trading	NOUN	11	obl:npmod
12	related	ADJ	12	amod
13	defaults	NOUN	8	obj
14	to	PART	15	mark
15	ever	ADV	15	advmod
16	trigger	VERB	8	xcomp
17	a	DET	17	det
18	default	NOUN	15	obj
19	under	ADP	21	case
20	a	DET	21	det
21	loan	NOUN	21	compound
22	transaction	NOUN	15	obl
23	which	PRON	23	nsubj
24	has	VERB	21	acl:relcl
25	a	DET	25	det
26	swap	NOUN	23	obj
27	as	ADP	28	case
28	a	DET	28	det
29	component	NOUN	23	obl
30	.	PUNCT	3	punct