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 she is nicer when you are alone I'd say it is because in public view she is making sure that people do not think that you might be her boyfriend.
Postion	Tokenization
1	If
2	she
3	is
4	nicer
5	when
6	you
7	are
8	alone
9	I'd
10	I
11	'd
12	say
13	it
14	is
15	because
16	in
17	public
18	view
19	she
20	is
21	making
22	sure
23	that
24	people
25	do
26	not
27	think
28	that
29	you
30	might
31	be
32	her
33	boyfriend
34	.
Position	Tokenization	UPOS	Head	Deprel
1	If	SCONJ	4	mark
2	she	PRON	4	nsubj
3	is	AUX	4	cop
4	nicer	ADJ	11	advcl
5	when	SCONJ	8	mark
6	you	PRON	8	nsubj
7	are	AUX	8	cop
8	alone	ADJ	4	advcl
9	I'd	_	None	_
10	I	PRON	11	nsubj
11	'd	AUX	11	aux
12	say	VERB	0	root
13	it	PRON	13	nsubj
14	is	VERB	11	ccomp
15	because	SCONJ	20	mark
16	in	ADP	17	case
17	public	ADJ	17	amod
18	view	NOUN	20	obl
19	she	PRON	20	nsubj
20	is	AUX	20	aux
21	making	VERB	13	advcl
22	sure	ADJ	20	xcomp
23	that	SCONJ	26	mark
24	people	NOUN	26	nsubj
25	do	AUX	26	aux
26	not	PART	26	advmod
27	think	VERB	21	ccomp
28	that	SCONJ	32	mark
29	you	PRON	32	nsubj
30	might	AUX	32	aux
31	be	AUX	32	cop
32	her	PRON	32	nmod:poss
33	boyfriend	NOUN	26	ccomp
34	.	PUNCT	11	punct