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:
Ese escándalo provocó amplios cambios de directivos a todos los niveles, desde su director general y presidente Jan Kollert y otros miembros de la dirección hasta personal medio.
Postion	Tokenization
1	Ese
2	escándalo
3	provocó
4	amplios
5	cambios
6	de
7	directivos
8	a
9	todos
10	los
11	niveles
12	,
13	desde
14	su
15	director
16	general
17	y
18	presidente
19	Jan
20	Kollert
21	y
22	otros
23	miembros
24	de
25	la
26	dirección
27	hasta
28	personal
29	medio
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Ese	DET	2	det
2	escándalo	NOUN	3	nsubj
3	provocó	VERB	0	root
4	amplios	ADJ	5	amod
5	cambios	NOUN	3	obj
6	de	ADP	7	case
7	directivos	NOUN	5	nmod
8	a	ADP	11	case
9	todos	DET	10	det
10	los	DET	11	det
11	niveles	NOUN	5	nmod
12	,	PUNCT	15	punct
13	desde	ADP	15	case
14	su	DET	15	det
15	director	NOUN	5	appos
16	general	ADJ	15	amod
17	y	CCONJ	18	cc
18	presidente	NOUN	15	conj
19	Jan	PROPN	15	appos
20	Kollert	PROPN	19	flat
21	y	CCONJ	23	cc
22	otros	DET	23	det
23	miembros	NOUN	15	conj
24	de	ADP	26	case
25	la	DET	26	det
26	dirección	NOUN	23	nmod
27	hasta	ADP	28	cc
28	personal	NOUN	15	conj
29	medio	ADJ	28	amod
30	.	PUNCT	3	punct