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:
I'm studying to be a teacher, so I know that there will definitely be jobs out there when I'm done.
Postion	Tokenization
1	I'm
2	I
3	'm
4	studying
5	to
6	be
7	a
8	teacher
9	,
10	so
11	I
12	know
13	that
14	there
15	will
16	definitely
17	be
18	jobs
19	out
20	there
21	when
22	I'm
23	I
24	'm
25	done
26	.
Position	Tokenization	UPOS	Head	Deprel
1	I'm	_	None	_
2	I	PRON	3	nsubj
3	'm	AUX	3	aux
4	studying	VERB	0	root
5	to	PART	7	mark
6	be	AUX	7	cop
7	a	DET	7	det
8	teacher	NOUN	3	advcl
9	,	PUNCT	3	punct
10	so	ADV	11	advmod
11	I	PRON	11	nsubj
12	know	VERB	3	parataxis
13	that	SCONJ	16	mark
14	there	PRON	16	expl
15	will	AUX	16	aux
16	definitely	ADV	16	advmod
17	be	VERB	11	ccomp
18	jobs	NOUN	16	nsubj
19	out	ADV	19	advmod
20	there	ADV	16	advmod
21	when	SCONJ	23	mark
22	I'm	_	None	_
23	I	PRON	23	nsubj
24	'm	AUX	23	cop
25	done	ADJ	16	advcl
26	.	PUNCT	3	punct