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:
La buena ciudadanía consiste en cultivar la prudencia y preferirla a la aventura, pero pensándolo dos veces la ciudadanía razonable nos lleva al caos con tres o cuatro guerras cada siglo.
Postion	Tokenization
1	La
2	buena
3	ciudadanía
4	consiste
5	en
6	cultivar
7	la
8	prudencia
9	y
10	preferirla
11	preferir
12	la
13	a
14	la
15	aventura
16	,
17	pero
18	pensándolo
19	pensando
20	lo
21	dos
22	veces
23	la
24	ciudadanía
25	razonable
26	nos
27	lleva
28	al
29	caos
30	con
31	tres
32	o
33	cuatro
34	guerras
35	cada
36	siglo
37	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	3	det
2	buena	ADJ	3	amod
3	ciudadanía	NOUN	4	nsubj
4	consiste	VERB	0	root
5	en	ADP	6	mark
6	cultivar	VERB	4	xcomp
7	la	DET	8	det
8	prudencia	NOUN	6	obj
9	y	CCONJ	10	cc
10	preferirla	_	None	_
11	preferir	VERB	6	conj
12	la	PRON	10	obj
13	a	ADP	14	case
14	la	DET	14	det
15	aventura	NOUN	10	obl
16	,	PUNCT	25	punct
17	pero	CCONJ	25	cc
18	pensándolo	_	None	_
19	pensando	VERB	25	advcl
20	lo	PRON	17	obj
21	dos	NUM	20	nummod
22	veces	NOUN	17	obl
23	la	DET	22	det
24	ciudadanía	NOUN	25	nsubj
25	razonable	ADJ	22	amod
26	nos	PRON	25	obj
27	lleva	VERB	4	conj
28	al	ADP	27	case
29	caos	NOUN	25	obj
30	con	ADP	32	case
31	tres	NUM	32	nummod
32	o	CCONJ	31	cc
33	cuatro	NUM	29	conj
34	guerras	NOUN	25	obl
35	cada	DET	34	det
36	siglo	NOUN	25	obl
37	.	PUNCT	4	punct