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:
Dr. Fortier threw a large rock at the bear, distracting it and allowing Parenteau to escape but it then turned on 25-year-old Patricia Doyon, who was in the same tent.
Postion	Tokenization
1	Dr.
2	Fortier
3	threw
4	a
5	large
6	rock
7	at
8	the
9	bear
10	,
11	distracting
12	it
13	and
14	allowing
15	Parenteau
16	to
17	escape
18	but
19	it
20	then
21	turned
22	on
23	25
24	-
25	year
26	-
27	old
28	Patricia
29	Doyon
30	,
31	who
32	was
33	in
34	the
35	same
36	tent
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Dr.	PROPN	3	nsubj
2	Fortier	PROPN	1	flat
3	threw	VERB	0	root
4	a	DET	6	det
5	large	ADJ	6	amod
6	rock	NOUN	3	obj
7	at	ADP	9	case
8	the	DET	9	det
9	bear	NOUN	3	obl
10	,	PUNCT	3	punct
11	distracting	VERB	3	advcl
12	it	PRON	11	obj
13	and	CCONJ	14	cc
14	allowing	VERB	11	conj
15	Parenteau	PROPN	14	obj
16	to	PART	17	mark
17	escape	VERB	14	xcomp
18	but	CCONJ	21	cc
19	it	PRON	21	nsubj
20	then	ADV	21	advmod
21	turned	VERB	3	conj
22	on	ADP	28	case
23	25	NUM	25	nummod
24	-	PUNCT	25	punct
25	year	NOUN	27	obl:tmod
26	-	PUNCT	27	punct
27	old	ADJ	28	amod
28	Patricia	PROPN	21	obl
29	Doyon	PROPN	28	flat
30	,	PUNCT	28	punct
31	who	PRON	36	nsubj
32	was	AUX	36	cop
33	in	ADP	36	case
34	the	DET	36	det
35	same	ADJ	36	amod
36	tent	NOUN	28	acl:relcl
37	.	PUNCT	3	punct