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:
The two screamed to frighten the bear and warn their friends in a tent several metres away but the bear ripped into that tent and began mauling 31-year-old Alain Parenteau.
Postion	Tokenization
1	The
2	two
3	screamed
4	to
5	frighten
6	the
7	bear
8	and
9	warn
10	their
11	friends
12	in
13	a
14	tent
15	several
16	metres
17	away
18	but
19	the
20	bear
21	ripped
22	into
23	that
24	tent
25	and
26	began
27	mauling
28	31
29	-
30	year
31	-
32	old
33	Alain
34	Parenteau
35	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	2	det
2	two	NUM	3	nsubj
3	screamed	VERB	0	root
4	to	PART	5	mark
5	frighten	VERB	3	advcl
6	the	DET	7	det
7	bear	NOUN	5	obj
8	and	CCONJ	9	cc
9	warn	VERB	5	conj
10	their	PRON	11	nmod:poss
11	friends	NOUN	9	obj
12	in	ADP	14	case
13	a	DET	14	det
14	tent	NOUN	11	nmod
15	several	ADJ	16	amod
16	metres	NOUN	17	obl:npmod
17	away	ADV	14	advmod
18	but	CCONJ	21	cc
19	the	DET	20	det
20	bear	NOUN	21	nsubj
21	ripped	VERB	3	conj
22	into	ADP	24	case
23	that	DET	24	det
24	tent	NOUN	21	obl
25	and	CCONJ	26	cc
26	began	VERB	21	conj
27	mauling	VERB	26	xcomp
28	31	NUM	30	nummod
29	-	PUNCT	30	punct
30	year	NOUN	32	obl:tmod
31	-	PUNCT	32	punct
32	old	ADJ	33	amod
33	Alain	PROPN	27	obj
34	Parenteau	PROPN	33	flat
35	.	PUNCT	3	punct