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:
Creo que por lo menos, los restaurantes deberían advertir a sus comensales de las medidas que tomarán durante los Juegos".
Postion	Tokenization
1	Creo
2	que
3	por
4	lo
5	menos
6	,
7	los
8	restaurantes
9	deberían
10	advertir
11	a
12	sus
13	comensales
14	de
15	las
16	medidas
17	que
18	tomarán
19	durante
20	los
21	Juegos
22	"
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Creo	VERB	0	root
2	que	SCONJ	10	mark
3	por	ADP	10	advmod
4	lo	PRON	3	fixed
5	menos	ADV	3	fixed
6	,	PUNCT	3	punct
7	los	DET	8	det
8	restaurantes	NOUN	10	nsubj
9	deberían	AUX	10	aux
10	advertir	VERB	1	xcomp
11	a	ADP	13	case
12	sus	DET	13	det
13	comensales	NOUN	10	obj
14	de	ADP	16	case
15	las	DET	16	det
16	medidas	NOUN	10	obj
17	que	PRON	18	obj
18	tomarán	VERB	16	acl
19	durante	ADP	21	case
20	los	DET	21	det
21	Juegos	PROPN	18	obl
22	"	PUNCT	1	punct
23	.	PUNCT	1	punct