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:
Jirasek había seguido con pesar día a día el degradante estado de salud de Zatopek, que ingresó en hospital el lunes 30 de octubre en estado muy grave del que ya no se recuperó.
Postion	Tokenization
1	Jirasek
2	había
3	seguido
4	con
5	pesar
6	día
7	a
8	día
9	el
10	degradante
11	estado
12	de
13	salud
14	de
15	Zatopek
16	,
17	que
18	ingresó
19	en
20	hospital
21	el
22	lunes
23	30
24	de
25	octubre
26	en
27	estado
28	muy
29	grave
30	del
31	que
32	ya
33	no
34	se
35	recuperó
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Jirasek	PROPN	3	nsubj
2	había	AUX	3	aux
3	seguido	VERB	0	root
4	con	ADP	5	case
5	pesar	NOUN	3	obl
6	día	NOUN	3	obl
7	a	ADP	8	case
8	día	NOUN	6	nmod
9	el	DET	11	det
10	degradante	ADJ	11	amod
11	estado	NOUN	3	obj
12	de	ADP	13	case
13	salud	NOUN	11	nmod
14	de	ADP	15	case
15	Zatopek	PROPN	11	nmod
16	,	PUNCT	18	punct
17	que	PRON	18	nsubj
18	ingresó	VERB	15	acl
19	en	ADP	20	case
20	hospital	NOUN	18	obl
21	el	DET	22	det
22	lunes	NOUN	18	obl
23	30	NUM	22	compound
24	de	ADP	25	case
25	octubre	NOUN	22	compound
26	en	ADP	27	case
27	estado	NOUN	18	obl
28	muy	ADV	29	advmod
29	grave	ADJ	27	amod
30	del	ADP	31	case
31	que	PRON	35	obj
32	ya	ADV	35	advmod
33	no	ADV	35	advmod
34	se	PRON	35	expl:pv
35	recuperó	VERB	27	acl
36	.	PUNCT	3	punct