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:
She basically said if the children getting off the bus aren't paying to enter her building she was going to let them wander around the streets.
Postion	Tokenization
1	She
2	basically
3	said
4	if
5	the
6	children
7	getting
8	off
9	the
10	bus
11	aren't
12	are
13	n't
14	paying
15	to
16	enter
17	her
18	building
19	she
20	was
21	going
22	to
23	let
24	them
25	wander
26	around
27	the
28	streets
29	.
Position	Tokenization	UPOS	Head	Deprel
1	She	PRON	3	nsubj
2	basically	ADV	3	advmod
3	said	VERB	0	root
4	if	SCONJ	13	mark
5	the	DET	6	det
6	children	NOUN	13	nsubj
7	getting	VERB	6	acl
8	off	ADP	10	case
9	the	DET	10	det
10	bus	NOUN	7	obl
11	aren't	_	None	_
12	are	AUX	13	aux
13	n't	PART	13	advmod
14	paying	VERB	20	advcl
15	to	PART	15	mark
16	enter	VERB	13	advcl
17	her	PRON	17	nmod:poss
18	building	NOUN	15	obj
19	she	PRON	20	nsubj
20	was	AUX	20	aux
21	going	VERB	3	ccomp
22	to	PART	22	mark
23	let	VERB	20	xcomp
24	them	PRON	22	obj
25	wander	VERB	22	xcomp
26	around	ADP	27	case
27	the	DET	27	det
28	streets	NOUN	24	obl
29	.	PUNCT	3	punct