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:
Muchos de los restaurantes de Sydney también reducirán las opciones de sus menús y hasta cobrarán 50 dólares a aquellas personas que cancelen sus reservas o que no cumplan con el horario fijado.
Postion	Tokenization
1	Muchos
2	de
3	los
4	restaurantes
5	de
6	Sydney
7	también
8	reducirán
9	las
10	opciones
11	de
12	sus
13	menús
14	y
15	hasta
16	cobrarán
17	50
18	dólares
19	a
20	aquellas
21	personas
22	que
23	cancelen
24	sus
25	reservas
26	o
27	que
28	no
29	cumplan
30	con
31	el
32	horario
33	fijado
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Muchos	PRON	8	nsubj
2	de	ADP	4	case
3	los	DET	4	det
4	restaurantes	NOUN	1	nmod
5	de	ADP	6	case
6	Sydney	PROPN	4	nmod
7	también	ADV	8	advmod
8	reducirán	VERB	0	root
9	las	DET	10	det
10	opciones	NOUN	8	obj
11	de	ADP	13	case
12	sus	DET	13	det
13	menús	NOUN	10	nmod
14	y	CCONJ	16	cc
15	hasta	ADV	16	advmod
16	cobrarán	VERB	8	conj
17	50	NUM	18	nummod
18	dólares	NOUN	16	obj
19	a	ADP	21	case
20	aquellas	DET	21	det
21	personas	NOUN	16	obj
22	que	PRON	23	nsubj
23	cancelen	VERB	21	acl
24	sus	DET	25	det
25	reservas	NOUN	23	obj
26	o	CCONJ	29	cc
27	que	PRON	29	nsubj
28	no	ADV	29	advmod
29	cumplan	VERB	23	conj
30	con	ADP	32	case
31	el	DET	32	det
32	horario	NOUN	29	obj
33	fijado	ADJ	32	amod
34	.	PUNCT	8	punct