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, an orthodontist, learned there was at least one polar bear in the central region of Baffin Island in July 2001 when he felt what he thought was a dog leaning on his tent wall.
Postion	Tokenization
1	Dr.
2	Fortier
3	,
4	an
5	orthodontist
6	,
7	learned
8	there
9	was
10	at
11	least
12	one
13	polar
14	bear
15	in
16	the
17	central
18	region
19	of
20	Baffin
21	Island
22	in
23	July
24	2001
25	when
26	he
27	felt
28	what
29	he
30	thought
31	was
32	a
33	dog
34	leaning
35	on
36	his
37	tent
38	wall
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Dr.	PROPN	7	nsubj
2	Fortier	PROPN	1	flat
3	,	PUNCT	1	punct
4	an	DET	5	det
5	orthodontist	NOUN	1	appos
6	,	PUNCT	7	punct
7	learned	VERB	0	root
8	there	PRON	9	expl
9	was	VERB	7	ccomp
10	at	ADV	11	case
11	least	ADV	12	nmod
12	one	NUM	14	nummod
13	polar	ADJ	14	amod
14	bear	NOUN	9	nsubj
15	in	ADP	18	case
16	the	DET	18	det
17	central	ADJ	18	amod
18	region	NOUN	14	nmod
19	of	ADP	21	case
20	Baffin	PROPN	21	compound
21	Island	PROPN	18	nmod
22	in	ADP	23	case
23	July	PROPN	7	obl
24	2001	NUM	23	nummod
25	when	SCONJ	27	mark
26	he	PRON	27	nsubj
27	felt	VERB	7	advcl
28	what	PRON	27	obj
29	he	PRON	30	nsubj
30	thought	VERB	28	acl:relcl
31	was	AUX	33	cop
32	a	DET	33	det
33	dog	NOUN	30	ccomp
34	leaning	VERB	33	acl
35	on	ADP	38	case
36	his	PRON	38	nmod:poss
37	tent	NOUN	38	compound
38	wall	NOUN	34	obl
39	.	PUNCT	7	punct