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:
Después de abrir un expediente extraordinario, Competición espera el dictamen de Ricardo Conde, juez instructor nombrado por el órgano disciplinario que investiga dos nuevos casos de presuntos pasaportes falsos.
Postion	Tokenization
1	Después
2	de
3	abrir
4	un
5	expediente
6	extraordinario
7	,
8	Competición
9	espera
10	el
11	dictamen
12	de
13	Ricardo
14	Conde
15	,
16	juez
17	instructor
18	nombrado
19	por
20	el
21	órgano
22	disciplinario
23	que
24	investiga
25	dos
26	nuevos
27	casos
28	de
29	presuntos
30	pasaportes
31	falsos
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Después	ADV	9	advmod
2	de	ADP	3	mark
3	abrir	VERB	1	advcl
4	un	DET	5	det
5	expediente	NOUN	3	obj
6	extraordinario	ADJ	5	amod
7	,	PUNCT	1	punct
8	Competición	PROPN	9	nsubj
9	espera	VERB	0	root
10	el	DET	11	det
11	dictamen	NOUN	9	obj
12	de	ADP	13	case
13	Ricardo	PROPN	11	nmod
14	Conde	PROPN	13	flat
15	,	PUNCT	16	punct
16	juez	NOUN	13	appos
17	instructor	ADJ	16	amod
18	nombrado	ADJ	16	amod
19	por	ADP	21	case
20	el	DET	21	det
21	órgano	NOUN	18	obj
22	disciplinario	ADJ	21	amod
23	que	PRON	24	nsubj
24	investiga	VERB	21	acl
25	dos	NUM	27	nummod
26	nuevos	ADJ	27	amod
27	casos	NOUN	24	obj
28	de	ADP	30	case
29	presuntos	ADJ	30	amod
30	pasaportes	NOUN	27	nmod
31	falsos	ADJ	30	amod
32	.	PUNCT	9	punct