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 Barcelona es la conciencia malsana del Madrid, su espejo oscuro, la representación más visible de una decadencia siquiera temporal y, el sábado, dignísima de juego y garras estériles.
Postion	Tokenization
1	El
2	Barcelona
3	es
4	la
5	conciencia
6	malsana
7	del
8	Madrid
9	,
10	su
11	espejo
12	oscuro
13	,
14	la
15	representación
16	más
17	visible
18	de
19	una
20	decadencia
21	siquiera
22	temporal
23	y
24	,
25	el
26	sábado
27	,
28	dignísima
29	de
30	juego
31	y
32	garras
33	estériles
34	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Barcelona	PROPN	5	nsubj
3	es	AUX	5	cop
4	la	DET	5	det
5	conciencia	NOUN	0	root
6	malsana	ADJ	5	amod
7	del	ADP	8	case
8	Madrid	PROPN	5	nmod
9	,	PUNCT	5	punct
10	su	DET	11	det
11	espejo	NOUN	5	appos
12	oscuro	ADJ	11	amod
13	,	PUNCT	5	punct
14	la	DET	15	det
15	representación	NOUN	5	appos
16	más	ADV	17	advmod
17	visible	ADJ	15	amod
18	de	ADP	20	case
19	una	DET	20	det
20	decadencia	NOUN	15	nmod
21	siquiera	ADV	22	advmod
22	temporal	ADJ	20	amod
23	y	CCONJ	28	cc
24	,	PUNCT	26	punct
25	el	DET	26	det
26	sábado	NOUN	28	obj
27	,	PUNCT	26	punct
28	dignísima	ADJ	22	conj
29	de	ADP	30	case
30	juego	NOUN	20	nmod
31	y	CCONJ	32	cc
32	garras	NOUN	30	conj
33	estériles	ADJ	30	amod
34	.	PUNCT	5	punct