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:
Abby is our beloved friend, and we are trying to raise money for her any way we can, so this prize money is important to help her continue to receive her life-saving treatments.
Postion	Tokenization
1	Abby
2	is
3	our
4	beloved
5	friend
6	,
7	and
8	we
9	are
10	trying
11	to
12	raise
13	money
14	for
15	her
16	any
17	way
18	we
19	can
20	,
21	so
22	this
23	prize
24	money
25	is
26	important
27	to
28	help
29	her
30	continue
31	to
32	receive
33	her
34	life
35	-
36	saving
37	treatments
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Abby	PROPN	5	nsubj
2	is	AUX	5	cop
3	our	PRON	5	nmod:poss
4	beloved	ADJ	5	amod
5	friend	NOUN	0	root
6	,	PUNCT	10	punct
7	and	CCONJ	10	cc
8	we	PRON	10	nsubj
9	are	AUX	10	aux
10	trying	VERB	5	conj
11	to	PART	12	mark
12	raise	VERB	10	xcomp
13	money	NOUN	12	obj
14	for	ADP	15	case
15	her	PRON	12	obl
16	any	DET	17	det
17	way	NOUN	12	obl:npmod
18	we	PRON	19	nsubj
19	can	AUX	17	acl:relcl
20	,	PUNCT	26	punct
21	so	ADV	26	advmod
22	this	DET	24	det
23	prize	NOUN	24	compound
24	money	NOUN	26	nsubj
25	is	AUX	26	cop
26	important	ADJ	5	conj
27	to	PART	28	mark
28	help	VERB	26	advcl
29	her	PRON	28	obj
30	continue	VERB	28	ccomp
31	to	PART	32	mark
32	receive	VERB	30	xcomp
33	her	PRON	37	nmod:poss
34	life	NOUN	36	compound
35	-	PUNCT	36	punct
36	saving	VERB	37	amod
37	treatments	NOUN	32	obj
38	.	PUNCT	5	punct