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:
Both Mr. Parenteau and Ms. Doyon were airlifted to a hospital and survived, though Mr. Parenteau had a gash within a centimetre of his jugular, Dr. Fortier said.
Postion	Tokenization
1	Both
2	Mr.
3	Parenteau
4	and
5	Ms.
6	Doyon
7	were
8	airlifted
9	to
10	a
11	hospital
12	and
13	survived
14	,
15	though
16	Mr.
17	Parenteau
18	had
19	a
20	gash
21	within
22	a
23	centimetre
24	of
25	his
26	jugular
27	,
28	Dr.
29	Fortier
30	said
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Both	CCONJ	2	cc:preconj
2	Mr.	PROPN	8	nsubj:pass
3	Parenteau	PROPN	2	flat
4	and	CCONJ	5	cc
5	Ms.	PROPN	2	conj
6	Doyon	PROPN	5	flat
7	were	AUX	8	aux:pass
8	airlifted	VERB	30	ccomp
9	to	ADP	11	case
10	a	DET	11	det
11	hospital	NOUN	8	obl
12	and	CCONJ	13	cc
13	survived	VERB	8	conj
14	,	PUNCT	13	punct
15	though	SCONJ	18	mark
16	Mr.	PROPN	18	nsubj
17	Parenteau	PROPN	16	flat
18	had	VERB	13	advcl
19	a	DET	20	det
20	gash	NOUN	18	obj
21	within	ADP	23	case
22	a	DET	23	det
23	centimetre	NOUN	18	obl
24	of	ADP	26	case
25	his	PRON	26	nmod:poss
26	jugular	NOUN	23	nmod
27	,	PUNCT	30	punct
28	Dr.	PROPN	30	nsubj
29	Fortier	PROPN	28	flat
30	said	VERB	0	root
31	.	PUNCT	30	punct