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:
1. The pricing that we have given CRRA is specific to FuelCell Energy and would not be meaningful without listing the manufacturer (i.e., ONSI would be a lot more money).
Postion	Tokenization
1	1
2	.
3	The
4	pricing
5	that
6	we
7	have
8	given
9	CRRA
10	is
11	specific
12	to
13	FuelCell
14	Energy
15	and
16	would
17	not
18	be
19	meaningful
20	without
21	listing
22	the
23	manufacturer
24	(
25	i.e.
26	,
27	ONSI
28	would
29	be
30	a
31	lot
32	more
33	money
34	)
35	.
Position	Tokenization	UPOS	Head	Deprel
1	1	X	2	nummod
2	.	PUNCT	11	punct
3	The	DET	4	det
4	pricing	NOUN	11	nsubj
5	that	PRON	8	obj
6	we	PRON	8	nsubj
7	have	AUX	8	aux
8	given	VERB	4	acl:relcl
9	CRRA	PROPN	8	iobj
10	is	AUX	11	cop
11	specific	ADJ	0	root
12	to	ADP	14	case
13	FuelCell	PROPN	14	compound
14	Energy	PROPN	11	obl
15	and	CCONJ	19	cc
16	would	AUX	19	aux
17	not	PART	19	advmod
18	be	AUX	19	cop
19	meaningful	ADJ	11	conj
20	without	SCONJ	21	mark
21	listing	VERB	19	advcl
22	the	DET	23	det
23	manufacturer	NOUN	21	obj
24	(	PUNCT	33	punct
25	i.e.	X	33	advmod
26	,	PUNCT	33	punct
27	ONSI	PROPN	33	nsubj
28	would	AUX	33	aux
29	be	AUX	33	cop
30	a	DET	31	det
31	lot	NOUN	32	obl:npmod
32	more	ADJ	33	amod
33	money	NOUN	11	parataxis
34	)	PUNCT	33	punct
35	.	PUNCT	11	punct