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:
Ironically he almost burst out laughing and it was all he could do to keep his mirth down to a barely controlled smirk.
Postion	Tokenization
1	Ironically
2	he
3	almost
4	burst
5	out
6	laughing
7	and
8	it
9	was
10	all
11	he
12	could
13	do
14	to
15	keep
16	his
17	mirth
18	down
19	to
20	a
21	barely
22	controlled
23	smirk
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Ironically	ADV	4	advmod
2	he	PRON	4	nsubj
3	almost	ADV	4	advmod
4	burst	VERB	0	root
5	out	ADP	4	compound:prt
6	laughing	VERB	4	xcomp
7	and	CCONJ	10	cc
8	it	PRON	10	nsubj
9	was	AUX	10	cop
10	all	DET	4	conj
11	he	PRON	13	nsubj
12	could	AUX	13	aux
13	do	VERB	10	acl:relcl
14	to	PART	15	mark
15	keep	VERB	10	advcl
16	his	PRON	17	nmod:poss
17	mirth	NOUN	15	obj
18	down	ADV	15	advmod
19	to	ADP	23	case
20	a	DET	23	det
21	barely	ADV	22	advmod
22	controlled	VERB	23	amod
23	smirk	NOUN	18	obl
24	.	PUNCT	4	punct