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:
You are not French for a start, so the "rules" or "customs" may not apply to you when it comes to entering into a relationship between people from different backgrounds.
Postion	Tokenization
1	You
2	are
3	not
4	French
5	for
6	a
7	start
8	,
9	so
10	the
11	"
12	rules
13	"
14	or
15	"
16	customs
17	"
18	may
19	not
20	apply
21	to
22	you
23	when
24	it
25	comes
26	to
27	entering
28	into
29	a
30	relationship
31	between
32	people
33	from
34	different
35	backgrounds
36	.
Position	Tokenization	UPOS	Head	Deprel
1	You	PRON	4	nsubj
2	are	AUX	4	cop
3	not	PART	4	advmod
4	French	ADJ	0	root
5	for	ADP	7	case
6	a	DET	7	det
7	start	NOUN	4	obl
8	,	PUNCT	4	punct
9	so	ADV	20	advmod
10	the	DET	12	det
11	"	PUNCT	12	punct
12	rules	NOUN	20	nsubj
13	"	PUNCT	12	punct
14	or	CCONJ	16	cc
15	"	PUNCT	16	punct
16	customs	NOUN	12	conj
17	"	PUNCT	20	punct
18	may	AUX	20	aux
19	not	PART	20	advmod
20	apply	VERB	4	ccomp
21	to	ADP	22	case
22	you	PRON	20	obl
23	when	SCONJ	25	mark
24	it	PRON	25	expl
25	comes	VERB	20	advcl
26	to	SCONJ	27	mark
27	entering	VERB	25	advcl
28	into	ADP	30	case
29	a	DET	30	det
30	relationship	NOUN	27	obl
31	between	ADP	32	case
32	people	NOUN	30	nmod
33	from	ADP	35	case
34	different	ADJ	35	amod
35	backgrounds	NOUN	32	nmod
36	.	PUNCT	4	punct