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:
La dimisión de Siwiec y sus ruegos de perdón por su broma de mal gusto no significarán el final del asunto: las imágenes que han provocado el revuelo han sido incorporadas a un anuncio electoral del candidato Krzaklewski.
Postion	Tokenization
1	La
2	dimisión
3	de
4	Siwiec
5	y
6	sus
7	ruegos
8	de
9	perdón
10	por
11	su
12	broma
13	de
14	mal
15	gusto
16	no
17	significarán
18	el
19	final
20	del
21	asunto
22	:
23	las
24	imágenes
25	que
26	han
27	provocado
28	el
29	revuelo
30	han
31	sido
32	incorporadas
33	a
34	un
35	anuncio
36	electoral
37	del
38	candidato
39	Krzaklewski
40	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	dimisión	NOUN	17	nsubj
3	de	ADP	4	case
4	Siwiec	PROPN	2	nmod
5	y	CCONJ	7	cc
6	sus	DET	7	det
7	ruegos	NOUN	2	conj
8	de	ADP	9	case
9	perdón	NOUN	7	nmod
10	por	ADP	12	case
11	su	DET	12	det
12	broma	NOUN	9	nmod
13	de	ADP	15	case
14	mal	ADJ	15	amod
15	gusto	NOUN	12	nmod
16	no	ADV	17	advmod
17	significarán	VERB	0	root
18	el	DET	19	det
19	final	NOUN	17	obj
20	del	ADP	21	case
21	asunto	NOUN	19	nmod
22	:	PUNCT	32	punct
23	las	DET	24	det
24	imágenes	NOUN	32	nsubj
25	que	PRON	27	nsubj
26	han	AUX	27	aux
27	provocado	VERB	24	acl
28	el	DET	29	det
29	revuelo	NOUN	27	obj
30	han	AUX	32	aux
31	sido	AUX	32	aux
32	incorporadas	VERB	17	advcl
33	a	ADP	35	case
34	un	DET	35	det
35	anuncio	NOUN	32	obj
36	electoral	ADJ	35	amod
37	del	ADP	38	case
38	candidato	NOUN	35	nmod
39	Krzaklewski	PROPN	38	appos
40	.	PUNCT	17	punct