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:
Rius ha cambiado de forma radical su mensaje hacia médicos y ciudadanos como reacción tras las primeras saturaciones de este invierno, que se produjeron el pasado fin de semana en varios hospitales de Barcelona.
Postion	Tokenization
1	Rius
2	ha
3	cambiado
4	de
5	forma
6	radical
7	su
8	mensaje
9	hacia
10	médicos
11	y
12	ciudadanos
13	como
14	reacción
15	tras
16	las
17	primeras
18	saturaciones
19	de
20	este
21	invierno
22	,
23	que
24	se
25	produjeron
26	el
27	pasado
28	fin
29	de
30	semana
31	en
32	varios
33	hospitales
34	de
35	Barcelona
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Rius	PROPN	3	nsubj
2	ha	AUX	3	aux
3	cambiado	VERB	0	root
4	de	ADP	5	case
5	forma	NOUN	3	obl
6	radical	ADJ	5	amod
7	su	DET	8	det
8	mensaje	NOUN	3	obj
9	hacia	ADP	10	case
10	médicos	NOUN	8	nmod
11	y	CCONJ	12	cc
12	ciudadanos	NOUN	10	conj
13	como	SCONJ	14	mark
14	reacción	NOUN	3	obl
15	tras	ADP	18	case
16	las	DET	18	det
17	primeras	ADJ	18	amod
18	saturaciones	NOUN	14	nmod
19	de	ADP	21	case
20	este	DET	21	det
21	invierno	NOUN	18	nmod
22	,	PUNCT	25	punct
23	que	PRON	25	nsubj
24	se	PRON	25	expl:pv
25	produjeron	VERB	18	acl
26	el	DET	28	det
27	pasado	ADJ	28	amod
28	fin	NOUN	25	obl
29	de	ADP	30	case
30	semana	NOUN	28	nmod
31	en	ADP	33	case
32	varios	DET	33	det
33	hospitales	NOUN	25	obl
34	de	ADP	35	case
35	Barcelona	PROPN	33	nmod
36	.	PUNCT	3	punct