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:
El presidente checo, de 63 años y con una salud muy frágil desde que fue operado de cáncer de pulmón en 1996, fue ingresado ayer en el Hospital de Praga tras sufrir una subida de la fiebre durante la noche.
Postion	Tokenization
1	El
2	presidente
3	checo
4	,
5	de
6	63
7	años
8	y
9	con
10	una
11	salud
12	muy
13	frágil
14	desde
15	que
16	fue
17	operado
18	de
19	cáncer
20	de
21	pulmón
22	en
23	1996
24	,
25	fue
26	ingresado
27	ayer
28	en
29	el
30	Hospital
31	de
32	Praga
33	tras
34	sufrir
35	una
36	subida
37	de
38	la
39	fiebre
40	durante
41	la
42	noche
43	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	presidente	NOUN	26	nsubj
3	checo	ADJ	2	amod
4	,	PUNCT	7	punct
5	de	ADP	7	case
6	63	NUM	7	nummod
7	años	NOUN	2	nmod
8	y	CCONJ	11	cc
9	con	ADP	11	case
10	una	DET	11	det
11	salud	NOUN	7	conj
12	muy	ADV	13	advmod
13	frágil	ADJ	11	amod
14	desde	ADP	17	mark
15	que	SCONJ	17	mark
16	fue	AUX	17	aux
17	operado	VERB	11	acl
18	de	ADP	19	case
19	cáncer	NOUN	17	obl
20	de	ADP	21	case
21	pulmón	NOUN	19	nmod
22	en	ADP	23	case
23	1996	NOUN	17	obl
24	,	PUNCT	7	punct
25	fue	AUX	26	aux
26	ingresado	VERB	0	root
27	ayer	ADV	26	advmod
28	en	ADP	30	case
29	el	DET	30	det
30	Hospital	PROPN	26	obl
31	de	ADP	32	case
32	Praga	PROPN	30	flat
33	tras	ADP	34	mark
34	sufrir	VERB	26	advcl
35	una	DET	36	det
36	subida	NOUN	34	obj
37	de	ADP	39	case
38	la	DET	39	det
39	fiebre	NOUN	36	nmod
40	durante	ADP	42	case
41	la	DET	42	det
42	noche	NOUN	34	obl
43	.	PUNCT	26	punct