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:
Los médicos se mostraban ayer preocupados por la evolución de uno de los heridos, atendido en la unidad de cuidados intensivos del Hospital Joan XXIII de Tarragona.
Postion	Tokenization
1	Los
2	médicos
3	se
4	mostraban
5	ayer
6	preocupados
7	por
8	la
9	evolución
10	de
11	uno
12	de
13	los
14	heridos
15	,
16	atendido
17	en
18	la
19	unidad
20	de
21	cuidados
22	intensivos
23	del
24	Hospital
25	Joan
26	XXIII
27	de
28	Tarragona
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	médicos	NOUN	4	nsubj
3	se	PRON	4	expl:pv
4	mostraban	VERB	0	root
5	ayer	ADV	6	advmod
6	preocupados	ADJ	4	obj
7	por	ADP	9	case
8	la	DET	9	det
9	evolución	NOUN	6	obj
10	de	ADP	11	case
11	uno	PRON	9	nmod
12	de	ADP	14	case
13	los	DET	14	det
14	heridos	NOUN	11	nmod
15	,	PUNCT	16	punct
16	atendido	ADJ	11	amod
17	en	ADP	19	case
18	la	DET	19	det
19	unidad	NOUN	16	obl
20	de	ADP	21	case
21	cuidados	NOUN	19	compound
22	intensivos	NOUN	19	compound
23	del	ADP	24	case
24	Hospital	PROPN	19	nmod
25	Joan	PROPN	24	flat
26	XXIII	PROPN	24	flat
27	de	ADP	28	case
28	Tarragona	PROPN	24	flat
29	.	PUNCT	4	punct