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:
"Los libros de texto que no respetan una visión neutra y sensata de la historia son pura excepción", concluye este catedrático, que también presta funciones de asesor educativo en países de América Latina.
Postion	Tokenization
1	"
2	Los
3	libros
4	de
5	texto
6	que
7	no
8	respetan
9	una
10	visión
11	neutra
12	y
13	sensata
14	de
15	la
16	historia
17	son
18	pura
19	excepción
20	"
21	,
22	concluye
23	este
24	catedrático
25	,
26	que
27	también
28	presta
29	funciones
30	de
31	asesor
32	educativo
33	en
34	países
35	de
36	América
37	Latina
38	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	19	punct
2	Los	DET	3	det
3	libros	NOUN	19	nsubj
4	de	ADP	5	case
5	texto	NOUN	3	nmod
6	que	PRON	8	nsubj
7	no	ADV	8	advmod
8	respetan	VERB	3	acl
9	una	DET	10	det
10	visión	NOUN	8	obj
11	neutra	ADJ	10	amod
12	y	CCONJ	13	cc
13	sensata	ADJ	11	conj
14	de	ADP	16	case
15	la	DET	16	det
16	historia	NOUN	10	nmod
17	son	AUX	19	cop
18	pura	ADJ	19	amod
19	excepción	NOUN	22	ccomp
20	"	PUNCT	19	punct
21	,	PUNCT	19	punct
22	concluye	VERB	0	root
23	este	DET	24	det
24	catedrático	NOUN	22	nsubj
25	,	PUNCT	28	punct
26	que	PRON	28	nsubj
27	también	ADV	28	advmod
28	presta	VERB	24	acl
29	funciones	NOUN	28	obj
30	de	ADP	31	case
31	asesor	NOUN	29	nmod
32	educativo	ADJ	31	amod
33	en	ADP	34	case
34	países	NOUN	28	obl
35	de	ADP	36	case
36	América	PROPN	34	nmod
37	Latina	PROPN	36	flat
38	.	PUNCT	22	punct