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:
A saber: un libro sobre Robespierre de ¡5.000 páginas! y una novela escrita en primera persona sobre Von Schirach, un nazi juzgado en Nuremberg.
Postion	Tokenization
1	A
2	saber
3	:
4	un
5	libro
6	sobre
7	Robespierre
8	de
9	¡
10	5.000
11	páginas
12	!
13	y
14	una
15	novela
16	escrita
17	en
18	primera
19	persona
20	sobre
21	Von
22	Schirach
23	,
24	un
25	nazi
26	juzgado
27	en
28	Nuremberg
29	.
Position	Tokenization	UPOS	Head	Deprel
1	A	ADP	5	advmod
2	saber	NOUN	1	fixed
3	:	PUNCT	5	punct
4	un	DET	5	det
5	libro	NOUN	0	root
6	sobre	ADP	7	case
7	Robespierre	PROPN	5	nmod
8	de	ADP	11	case
9	¡	PUNCT	11	punct
10	5.000	NUM	11	nummod
11	páginas	NOUN	5	nmod
12	!	PUNCT	11	punct
13	y	CCONJ	15	cc
14	una	DET	15	det
15	novela	NOUN	5	conj
16	escrita	ADJ	15	amod
17	en	ADP	19	case
18	primera	ADJ	19	amod
19	persona	NOUN	16	obl
20	sobre	ADP	21	case
21	Von	PROPN	15	nmod
22	Schirach	PROPN	21	flat
23	,	PUNCT	25	punct
24	un	DET	25	det
25	nazi	NOUN	21	appos
26	juzgado	ADJ	25	amod
27	en	ADP	28	case
28	Nuremberg	PROPN	26	obl
29	.	PUNCT	5	punct