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:
Churchill aprendió las bondades de la siesta en Cuba, cuando estuvo en la isla como corresponsal, porque, además de militar y político, fue periodista; un periodista que amaba la siesta.
Postion	Tokenization
1	Churchill
2	aprendió
3	las
4	bondades
5	de
6	la
7	siesta
8	en
9	Cuba
10	,
11	cuando
12	estuvo
13	en
14	la
15	isla
16	como
17	corresponsal
18	,
19	porque
20	,
21	además
22	de
23	militar
24	y
25	político
26	,
27	fue
28	periodista
29	;
30	un
31	periodista
32	que
33	amaba
34	la
35	siesta
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Churchill	PROPN	2	nsubj
2	aprendió	VERB	0	root
3	las	DET	4	det
4	bondades	NOUN	2	obj
5	de	ADP	7	case
6	la	DET	7	det
7	siesta	NOUN	4	nmod
8	en	ADP	9	case
9	Cuba	PROPN	2	obl
10	,	PUNCT	12	punct
11	cuando	SCONJ	12	mark
12	estuvo	VERB	2	advcl
13	en	ADP	15	case
14	la	DET	15	det
15	isla	NOUN	12	obl
16	como	SCONJ	17	mark
17	corresponsal	NOUN	12	obl
18	,	PUNCT	12	punct
19	porque	SCONJ	28	mark
20	,	PUNCT	23	punct
21	además	ADV	23	case
22	de	ADP	21	fixed
23	militar	NOUN	28	nsubj
24	y	CCONJ	25	cc
25	político	NOUN	23	conj
26	,	PUNCT	23	punct
27	fue	AUX	28	cop
28	periodista	NOUN	2	advcl
29	;	PUNCT	31	punct
30	un	DET	31	det
31	periodista	NOUN	28	appos
32	que	PRON	33	nsubj
33	amaba	VERB	31	acl
34	la	DET	35	det
35	siesta	NOUN	33	obj
36	.	PUNCT	2	punct