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:
While there was some fur and blood on the nine-centimetre blade, Dr. Fortier said he doesn't think he hurt the bear badly.
Postion	Tokenization
1	While
2	there
3	was
4	some
5	fur
6	and
7	blood
8	on
9	the
10	nine
11	-
12	centimetre
13	blade
14	,
15	Dr.
16	Fortier
17	said
18	he
19	doesn't
20	does
21	n't
22	think
23	he
24	hurt
25	the
26	bear
27	badly
28	.
Position	Tokenization	UPOS	Head	Deprel
1	While	SCONJ	3	mark
2	there	PRON	3	expl
3	was	VERB	17	advcl
4	some	DET	5	det
5	fur	NOUN	3	nsubj
6	and	CCONJ	7	cc
7	blood	NOUN	5	conj
8	on	ADP	13	case
9	the	DET	13	det
10	nine	NUM	12	nummod
11	-	PUNCT	12	punct
12	centimetre	NOUN	13	compound
13	blade	NOUN	3	obl
14	,	PUNCT	17	punct
15	Dr.	PROPN	17	nsubj
16	Fortier	PROPN	15	flat
17	said	VERB	0	root
18	he	PRON	21	nsubj
19	doesn't	_	None	_
20	does	AUX	21	aux
21	n't	PART	21	advmod
22	think	VERB	17	ccomp
23	he	PRON	23	nsubj
24	hurt	VERB	21	ccomp
25	the	DET	25	det
26	bear	NOUN	23	obj
27	badly	ADV	23	advmod
28	.	PUNCT	17	punct