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:
"All of the research and all of the preparation I did leading up to the trip gave no indication that there were bears in the Soper [River] valley where we were canoeing," Dr. Fortier said.
Postion	Tokenization
1	"
2	All
3	of
4	the
5	research
6	and
7	all
8	of
9	the
10	preparation
11	I
12	did
13	leading
14	up
15	to
16	the
17	trip
18	gave
19	no
20	indication
21	that
22	there
23	were
24	bears
25	in
26	the
27	Soper
28	[
29	River
30	]
31	valley
32	where
33	we
34	were
35	canoeing
36	,
37	"
38	Dr.
39	Fortier
40	said
41	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	40	punct
2	All	DET	18	nsubj
3	of	ADP	5	case
4	the	DET	5	det
5	research	NOUN	2	nmod
6	and	CCONJ	7	cc
7	all	DET	2	conj
8	of	ADP	10	case
9	the	DET	10	det
10	preparation	NOUN	7	nmod
11	I	PRON	12	nsubj
12	did	VERB	2	acl:relcl
13	leading	VERB	12	advcl
14	up	ADP	13	compound:prt
15	to	ADP	17	case
16	the	DET	17	det
17	trip	NOUN	13	obl
18	gave	VERB	40	ccomp
19	no	DET	20	det
20	indication	NOUN	18	obj
21	that	SCONJ	23	mark
22	there	PRON	23	expl
23	were	VERB	20	acl
24	bears	NOUN	23	nsubj
25	in	ADP	31	case
26	the	DET	31	det
27	Soper	PROPN	29	compound
28	[	PUNCT	29	punct
29	River	PROPN	31	compound
30	]	PUNCT	29	punct
31	valley	NOUN	23	obl
32	where	SCONJ	35	mark
33	we	PRON	35	nsubj
34	were	AUX	35	aux
35	canoeing	VERB	31	acl:relcl
36	,	PUNCT	40	punct
37	"	PUNCT	40	punct
38	Dr.	PROPN	40	nsubj
39	Fortier	PROPN	38	flat
40	said	VERB	0	root
41	.	PUNCT	40	punct