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:
Horas después de que la CDU informase sobre el entramado de esas cuentas secretas, Kohl negó categóricamente tener nada que ver con ellas.
Postion	Tokenization
1	Horas
2	después
3	de
4	que
5	la
6	CDU
7	informase
8	sobre
9	el
10	entramado
11	de
12	esas
13	cuentas
14	secretas
15	,
16	Kohl
17	negó
18	categóricamente
19	tener
20	nada
21	que
22	ver
23	con
24	ellas
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Horas	NOUN	2	obl
2	después	ADV	17	advmod
3	de	ADP	7	mark
4	que	SCONJ	7	mark
5	la	DET	6	det
6	CDU	PROPN	7	nsubj
7	informase	VERB	2	advcl
8	sobre	ADP	10	case
9	el	DET	10	det
10	entramado	NOUN	7	obj
11	de	ADP	13	case
12	esas	DET	13	det
13	cuentas	NOUN	10	nmod
14	secretas	ADJ	13	amod
15	,	PUNCT	2	punct
16	Kohl	PROPN	17	nsubj
17	negó	VERB	0	root
18	categóricamente	ADV	17	advmod
19	tener	VERB	17	xcomp
20	nada	PRON	19	obl
21	que	SCONJ	22	mark
22	ver	VERB	19	xcomp
23	con	ADP	24	case
24	ellas	PRON	19	obj
25	.	PUNCT	17	punct