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 primary reason we need these things is for the scenario where a muni does a derivative deal with an open-ended downside, loses $50 million, and then claims that it was not a valid contract.
Postion	Tokenization
1	the
2	primary
3	reason
4	we
5	need
6	these
7	things
8	is
9	for
10	the
11	scenario
12	where
13	a
14	muni
15	does
16	a
17	derivative
18	deal
19	with
20	an
21	open
22	-
23	ended
24	downside
25	,
26	loses
27	$
28	50
29	million
30	,
31	and
32	then
33	claims
34	that
35	it
36	was
37	not
38	a
39	valid
40	contract
41	.
Position	Tokenization	UPOS	Head	Deprel
1	the	DET	3	det
2	primary	ADJ	3	amod
3	reason	NOUN	11	nsubj
4	we	PRON	5	nsubj
5	need	VERB	3	acl:relcl
6	these	DET	7	det
7	things	NOUN	5	obj
8	is	AUX	11	cop
9	for	ADP	11	case
10	the	DET	11	det
11	scenario	NOUN	0	root
12	where	SCONJ	15	mark
13	a	DET	14	det
14	muni	NOUN	15	nsubj
15	does	VERB	11	acl:relcl
16	a	DET	18	det
17	derivative	NOUN	18	compound
18	deal	NOUN	15	obj
19	with	ADP	24	case
20	an	DET	24	det
21	open	ADJ	23	amod
22	-	PUNCT	23	punct
23	ended	ADJ	24	amod
24	downside	NOUN	18	nmod
25	,	PUNCT	26	punct
26	loses	VERB	15	conj
27	$	SYM	26	obj
28	50	NUM	27	nummod
29	million	NUM	28	compound
30	,	PUNCT	33	punct
31	and	CCONJ	33	cc
32	then	ADV	33	advmod
33	claims	VERB	15	conj
34	that	SCONJ	40	mark
35	it	PRON	40	nsubj
36	was	AUX	40	cop
37	not	PART	40	advmod
38	a	DET	40	det
39	valid	ADJ	40	amod
40	contract	NOUN	33	ccomp
41	.	PUNCT	11	punct