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:
If you are serious about working out in a non-commercial like atmosphere then you have chosen the best place to be.
Postion	Tokenization
1	If
2	you
3	are
4	serious
5	about
6	working
7	out
8	in
9	a
10	non-commercial
11	like
12	atmosphere
13	then
14	you
15	have
16	chosen
17	the
18	best
19	place
20	to
21	be
22	.
Position	Tokenization	UPOS	Head	Deprel
1	If	SCONJ	4	mark
2	you	PRON	4	nsubj
3	are	AUX	4	cop
4	serious	ADJ	16	advcl
5	about	SCONJ	6	mark
6	working	VERB	4	advcl
7	out	ADP	6	compound:prt
8	in	ADP	12	case
9	a	DET	12	det
10	non-commercial	ADJ	11	amod
11	like	ADJ	12	amod
12	atmosphere	NOUN	6	obl
13	then	ADV	16	advmod
14	you	PRON	16	nsubj
15	have	AUX	16	aux
16	chosen	VERB	0	root
17	the	DET	19	det
18	best	ADJ	19	amod
19	place	NOUN	16	obj
20	to	PART	21	mark
21	be	VERB	19	acl
22	.	PUNCT	16	punct