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:
the guy came on time and didn't take any breaks, he went straight to work and finished the job efficiently and promptly!
Postion	Tokenization
1	the
2	guy
3	came
4	on
5	time
6	and
7	didn't
8	did
9	n't
10	take
11	any
12	breaks
13	,
14	he
15	went
16	straight
17	to
18	work
19	and
20	finished
21	the
22	job
23	efficiently
24	and
25	promptly
26	!
Position	Tokenization	UPOS	Head	Deprel
1	the	DET	2	det
2	guy	NOUN	3	nsubj
3	came	VERB	0	root
4	on	ADP	5	case
5	time	NOUN	3	obl
6	and	CCONJ	9	cc
7	didn't	_	None	_
8	did	AUX	9	aux
9	n't	PART	9	advmod
10	take	VERB	3	conj
11	any	DET	11	det
12	breaks	NOUN	9	obj
13	,	PUNCT	3	punct
14	he	PRON	14	nsubj
15	went	VERB	3	parataxis
16	straight	ADV	14	advmod
17	to	PART	17	mark
18	work	VERB	14	advcl
19	and	CCONJ	19	cc
20	finished	VERB	14	conj
21	the	DET	21	det
22	job	NOUN	19	obj
23	efficiently	ADV	19	advmod
24	and	CCONJ	24	cc
25	promptly	ADV	22	conj
26	!	PUNCT	3	punct