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:
I will probably stay here again because its cheap and I cant afford a better hotel, but do not look forward to it and would definitely not recommend this hotel for families or single female travellers.
Postion	Tokenization
1	I
2	will
3	probably
4	stay
5	here
6	again
7	because
8	its
9	it
10	s
11	cheap
12	and
13	I
14	cant
15	ca
16	nt
17	afford
18	a
19	better
20	hotel
21	,
22	but
23	do
24	not
25	look
26	forward
27	to
28	it
29	and
30	would
31	definitely
32	not
33	recommend
34	this
35	hotel
36	for
37	families
38	or
39	single
40	female
41	travellers
42	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	4	nsubj
2	will	AUX	4	aux
3	probably	ADV	4	advmod
4	stay	VERB	0	root
5	here	ADV	4	advmod
6	again	ADV	4	advmod
7	because	SCONJ	10	mark
8	its	_	None	_
9	it	PRON	10	nsubj
10	s	AUX	10	cop
11	cheap	ADJ	4	advcl
12	and	CCONJ	15	cc
13	I	PRON	15	nsubj
14	cant	_	None	_
15	ca	AUX	15	aux
16	nt	PART	15	advmod
17	afford	VERB	10	conj
18	a	DET	18	det
19	better	ADJ	18	amod
20	hotel	NOUN	15	obj
21	,	PUNCT	23	punct
22	but	CCONJ	23	cc
23	do	AUX	23	aux
24	not	PART	23	advmod
25	look	VERB	4	conj
26	forward	ADV	23	advmod
27	to	ADP	26	case
28	it	PRON	23	obl
29	and	CCONJ	31	cc
30	would	AUX	31	aux
31	definitely	ADV	31	advmod
32	not	PART	31	advmod
33	recommend	VERB	4	conj
34	this	DET	33	det
35	hotel	NOUN	31	obj
36	for	ADP	35	case
37	families	NOUN	31	obl
38	or	CCONJ	39	cc
39	single	ADJ	39	amod
40	female	ADJ	39	amod
41	travellers	NOUN	35	conj
42	.	PUNCT	4	punct