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:
If so, then does that mean that if you watched a scary movie and your dog/cat/parrot was in the same room as you they will also get scared?
Postion	Tokenization
1	If
2	so
3	,
4	then
5	does
6	that
7	mean
8	that
9	if
10	you
11	watched
12	a
13	scary
14	movie
15	and
16	your
17	dog
18	/
19	cat
20	/
21	parrot
22	was
23	in
24	the
25	same
26	room
27	as
28	you
29	they
30	will
31	also
32	get
33	scared
34	?
Position	Tokenization	UPOS	Head	Deprel
1	If	SCONJ	2	mark
2	so	ADV	7	advcl
3	,	PUNCT	7	punct
4	then	ADV	7	advmod
5	does	AUX	7	aux
6	that	PRON	7	nsubj
7	mean	VERB	0	root
8	that	SCONJ	33	mark
9	if	SCONJ	11	mark
10	you	PRON	11	nsubj
11	watched	VERB	33	advcl
12	a	DET	14	det
13	scary	ADJ	14	amod
14	movie	NOUN	11	obj
15	and	CCONJ	26	cc
16	your	PRON	21	nmod:poss
17	dog	NOUN	26	nsubj
18	/	PUNCT	19	cc
19	cat	NOUN	17	conj
20	/	PUNCT	21	cc
21	parrot	NOUN	17	conj
22	was	AUX	26	cop
23	in	ADP	26	case
24	the	DET	26	det
25	same	ADJ	26	amod
26	room	NOUN	11	conj
27	as	ADP	28	case
28	you	PRON	25	obl
29	they	PRON	33	nsubj:pass
30	will	AUX	33	aux
31	also	ADV	33	advmod
32	get	VERB	33	aux:pass
33	scared	ADJ	7	ccomp
34	?	PUNCT	7	punct