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:
Im getting a dwarf hamster tomorrow and i saw videos on youtube of them escaping and if my hamster escaped because my mom will FREAK OUT!!!
Postion	Tokenization
1	Im
2	I
3	m
4	getting
5	a
6	dwarf
7	hamster
8	tomorrow
9	and
10	i
11	saw
12	videos
13	on
14	youtube
15	of
16	them
17	escaping
18	and
19	if
20	my
21	hamster
22	escaped
23	because
24	my
25	mom
26	will
27	FREAK
28	OUT
29	!!!
Position	Tokenization	UPOS	Head	Deprel
1	Im	_	None	_
2	I	PRON	3	nsubj
3	m	AUX	3	aux
4	getting	VERB	0	root
5	a	DET	6	det
6	dwarf	ADJ	6	amod
7	hamster	NOUN	3	obj
8	tomorrow	NOUN	3	obl:tmod
9	and	CCONJ	10	cc
10	i	PRON	10	nsubj
11	saw	VERB	3	conj
12	videos	NOUN	10	obj
13	on	ADP	13	case
14	youtube	PROPN	11	nmod
15	of	SCONJ	16	mark
16	them	PRON	16	nsubj
17	escaping	VERB	11	acl
18	and	CCONJ	26	cc
19	if	SCONJ	21	mark
20	my	PRON	20	nmod:poss
21	hamster	NOUN	21	nsubj
22	escaped	VERB	26	advcl
23	because	SCONJ	26	mark
24	my	PRON	24	nmod:poss
25	mom	NOUN	26	nsubj
26	will	AUX	26	aux
27	FREAK	VERB	3	conj
28	OUT	ADP	26	compound:prt
29	!!!	PUNCT	3	punct