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:
Aquí, después de las elecciones catalanas, la poca tradición democrática hizo que los políticos perdedores no quisieran reconocer al maillot amarillo.
Postion	Tokenization
1	Aquí
2	,
3	después
4	de
5	las
6	elecciones
7	catalanas
8	,
9	la
10	poca
11	tradición
12	democrática
13	hizo
14	que
15	los
16	políticos
17	perdedores
18	no
19	quisieran
20	reconocer
21	al
22	maillot
23	amarillo
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Aquí	ADV	13	advmod
2	,	PUNCT	1	punct
3	después	ADV	13	advmod
4	de	ADP	6	case
5	las	DET	6	det
6	elecciones	NOUN	3	obl
7	catalanas	ADJ	6	amod
8	,	PUNCT	3	punct
9	la	DET	11	det
10	poca	DET	9	det
11	tradición	NOUN	13	nsubj
12	democrática	ADJ	11	amod
13	hizo	VERB	0	root
14	que	SCONJ	19	mark
15	los	DET	17	det
16	políticos	ADJ	17	amod
17	perdedores	NOUN	19	nsubj
18	no	ADV	19	advmod
19	quisieran	VERB	13	ccomp
20	reconocer	VERB	19	xcomp
21	al	ADP	22	case
22	maillot	NOUN	20	obj
23	amarillo	ADJ	22	amod
24	.	PUNCT	13	punct