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:
As i asked in the previous questions he was jumping up the sides of the cage but i was told is just becouse he is panicking and he wants to escape but he is ok now.
Postion	Tokenization
1	As
2	i
3	asked
4	in
5	the
6	previous
7	questions
8	he
9	was
10	jumping
11	up
12	the
13	sides
14	of
15	the
16	cage
17	but
18	i
19	was
20	told
21	is
22	just
23	becouse
24	he
25	is
26	panicking
27	and
28	he
29	wants
30	to
31	escape
32	but
33	he
34	is
35	ok
36	now
37	.
Position	Tokenization	UPOS	Head	Deprel
1	As	SCONJ	3	mark
2	i	PRON	3	nsubj
3	asked	VERB	10	advcl
4	in	ADP	7	case
5	the	DET	7	det
6	previous	ADJ	7	amod
7	questions	NOUN	3	obl
8	he	PRON	10	nsubj
9	was	AUX	10	aux
10	jumping	VERB	0	root
11	up	ADP	13	case
12	the	DET	13	det
13	sides	NOUN	10	obl
14	of	ADP	16	case
15	the	DET	16	det
16	cage	NOUN	13	nmod
17	but	CCONJ	20	cc
18	i	PRON	20	nsubj:pass
19	was	AUX	20	aux:pass
20	told	VERB	10	conj
21	is	VERB	20	ccomp
22	just	ADV	26	advmod
23	becouse	SCONJ	26	mark
24	he	PRON	26	nsubj
25	is	AUX	26	aux
26	panicking	VERB	21	advcl
27	and	CCONJ	29	cc
28	he	PRON	29	nsubj
29	wants	VERB	26	conj
30	to	PART	31	mark
31	escape	VERB	29	xcomp
32	but	CCONJ	35	cc
33	he	PRON	35	nsubj
34	is	AUX	35	cop
35	ok	ADJ	10	conj
36	now	ADV	35	advmod
37	.	PUNCT	10	punct