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:
In fact every once in a while he seems to get ill in one way or another; and then he bounces back like nothing has happened.
Postion	Tokenization
1	In
2	fact
3	every
4	once
5	in
6	a
7	while
8	he
9	seems
10	to
11	get
12	ill
13	in
14	one
15	way
16	or
17	another
18	;
19	and
20	then
21	he
22	bounces
23	back
24	like
25	nothing
26	has
27	happened
28	.
Position	Tokenization	UPOS	Head	Deprel
1	In	ADP	2	case
2	fact	NOUN	9	obl
3	every	DET	4	det
4	once	NOUN	9	obl:npmod
5	in	ADP	7	case
6	a	DET	7	det
7	while	NOUN	4	nmod
8	he	PRON	9	nsubj
9	seems	VERB	0	root
10	to	PART	12	mark
11	get	VERB	9	xcomp
12	ill	ADJ	11	xcomp
13	in	ADP	15	case
14	one	NUM	15	nummod
15	way	NOUN	12	obl
16	or	CCONJ	17	cc
17	another	DET	15	conj
18	;	PUNCT	9	punct
19	and	CCONJ	22	cc
20	then	ADV	22	advmod
21	he	PRON	22	nsubj
22	bounces	VERB	9	conj
23	back	ADV	22	advmod
24	like	SCONJ	27	mark
25	nothing	PRON	27	nsubj
26	has	AUX	27	aux
27	happened	VERB	22	advcl
28	.	PUNCT	9	punct