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:
"No es lógico que una persona con gripe aguarde seis horas para que se la visite en un hospital - - admite Rius - -.
Postion	Tokenization
1	"
2	No
3	es
4	lógico
5	que
6	una
7	persona
8	con
9	gripe
10	aguarde
11	seis
12	horas
13	para
14	que
15	se
16	la
17	visite
18	en
19	un
20	hospital
21	-
22	-
23	admite
24	Rius
25	-
26	-
27	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	4	punct
2	No	ADV	4	advmod
3	es	AUX	4	cop
4	lógico	ADJ	23	ccomp
5	que	SCONJ	10	mark
6	una	DET	7	det
7	persona	NOUN	10	nsubj
8	con	ADP	9	case
9	gripe	NOUN	7	nmod
10	aguarde	VERB	4	csubj
11	seis	NUM	12	nummod
12	horas	NOUN	10	obj
13	para	ADP	17	mark
14	que	SCONJ	17	mark
15	se	PRON	17	expl:impers
16	la	PRON	17	obj
17	visite	VERB	10	advcl
18	en	ADP	20	case
19	un	DET	20	det
20	hospital	NOUN	17	obl
21	-	PUNCT	4	punct
22	-	PUNCT	4	punct
23	admite	VERB	0	root
24	Rius	PROPN	23	nsubj
25	-	PUNCT	23	punct
26	-	PUNCT	23	punct
27	.	PUNCT	23	punct