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:
Zatopek no pudo columbrar el siglo XXI y un derrame cerebral se lo llevó de entre los vivos el 22 de noviembre, para, ya muerto, recibir honores de Jefe de Estado.
Postion	Tokenization
1	Zatopek
2	no
3	pudo
4	columbrar
5	el
6	siglo
7	XXI
8	y
9	un
10	derrame
11	cerebral
12	se
13	lo
14	llevó
15	de
16	entre
17	los
18	vivos
19	el
20	22
21	de
22	noviembre
23	,
24	para
25	,
26	ya
27	muerto
28	,
29	recibir
30	honores
31	de
32	Jefe
33	de
34	Estado
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Zatopek	PROPN	4	nsubj
2	no	ADV	4	advmod
3	pudo	AUX	4	aux
4	columbrar	VERB	0	root
5	el	DET	6	det
6	siglo	NOUN	4	obj
7	XXI	NOUN	6	compound
8	y	CCONJ	14	cc
9	un	DET	10	det
10	derrame	NOUN	14	nsubj
11	cerebral	ADJ	10	amod
12	se	PRON	14	iobj
13	lo	PRON	14	obj
14	llevó	VERB	4	conj
15	de	ADP	18	case
16	entre	ADP	18	case
17	los	DET	18	det
18	vivos	NOUN	14	obl
19	el	DET	20	det
20	22	NUM	14	obl
21	de	ADP	22	case
22	noviembre	NOUN	20	compound
23	,	PUNCT	29	punct
24	para	ADP	27	case
25	,	PUNCT	26	punct
26	ya	ADV	29	advmod
27	muerto	ADJ	29	xcomp
28	,	PUNCT	29	punct
29	recibir	VERB	14	advcl
30	honores	NOUN	29	obj
31	de	ADP	32	case
32	Jefe	PROPN	30	nmod
33	de	ADP	34	case
34	Estado	PROPN	32	flat
35	.	PUNCT	4	punct