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 understand how competitive the process has become, but I felt that with my work experiences, recommendations, personality, extracurricular activities, etc. that this would compensate for my disability.
Postion	Tokenization
1	I
2	understand
3	how
4	competitive
5	the
6	process
7	has
8	become
9	,
10	but
11	I
12	felt
13	that
14	with
15	my
16	work
17	experiences
18	,
19	recommendations
20	,
21	personality
22	,
23	extracurricular
24	activities
25	,
26	etc.
27	that
28	this
29	would
30	compensate
31	for
32	my
33	disability
34	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	understand	VERB	0	root
3	how	SCONJ	8	mark
4	competitive	ADJ	8	xcomp
5	the	DET	6	det
6	process	NOUN	8	nsubj
7	has	AUX	8	aux
8	become	VERB	2	ccomp
9	,	PUNCT	12	punct
10	but	CCONJ	12	cc
11	I	PRON	12	nsubj
12	felt	VERB	2	conj
13	that	SCONJ	17	mark
14	with	ADP	17	case
15	my	PRON	17	nmod:poss
16	work	NOUN	17	compound
17	experiences	NOUN	12	ccomp
18	,	PUNCT	19	punct
19	recommendations	NOUN	17	conj
20	,	PUNCT	21	punct
21	personality	NOUN	17	conj
22	,	PUNCT	24	punct
23	extracurricular	ADJ	24	amod
24	activities	NOUN	17	conj
25	,	PUNCT	26	punct
26	etc.	X	17	conj
27	that	SCONJ	30	mark
28	this	PRON	30	nsubj
29	would	AUX	30	aux
30	compensate	VERB	17	conj
31	for	ADP	33	case
32	my	PRON	33	nmod:poss
33	disability	NOUN	30	obl
34	.	PUNCT	2	punct