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:
El catedrático de Etica y Filosofía Política de la Universitat Pompeu Fabra Francisco Fernández Buey acusó en Girona al economista Fabián Estapé de "falsear la historia" en sus memorias De tots colors.
Postion	Tokenization
1	El
2	catedrático
3	de
4	Etica
5	y
6	Filosofía
7	Política
8	de
9	la
10	Universitat
11	Pompeu
12	Fabra
13	Francisco
14	Fernández
15	Buey
16	acusó
17	en
18	Girona
19	al
20	economista
21	Fabián
22	Estapé
23	de
24	"
25	falsear
26	la
27	historia
28	"
29	en
30	sus
31	memorias
32	De
33	tots
34	colors
35	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	catedrático	NOUN	16	nsubj
3	de	ADP	4	case
4	Etica	PROPN	2	nmod
5	y	CCONJ	6	cc
6	Filosofía	PROPN	4	conj
7	Política	PROPN	6	flat
8	de	ADP	10	case
9	la	DET	10	det
10	Universitat	PROPN	2	nmod
11	Pompeu	PROPN	10	flat
12	Fabra	PROPN	10	flat
13	Francisco	PROPN	2	appos
14	Fernández	PROPN	13	flat
15	Buey	PROPN	13	flat
16	acusó	VERB	0	root
17	en	ADP	18	case
18	Girona	PROPN	16	obl
19	al	ADP	20	case
20	economista	NOUN	16	iobj
21	Fabián	PROPN	20	appos
22	Estapé	PROPN	21	flat
23	de	ADP	25	mark
24	"	PUNCT	25	punct
25	falsear	VERB	16	xcomp
26	la	DET	27	det
27	historia	NOUN	25	obj
28	"	PUNCT	25	punct
29	en	ADP	31	case
30	sus	DET	31	det
31	memorias	NOUN	25	obl
32	De	ADP	33	case
33	tots	PROPN	31	appos
34	colors	PROPN	33	flat
35	.	PUNCT	16	punct