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:
El vídeo fue grabado hace tres años, durante una visita a la ciudad de Kalisz del presidente de la República Aleksander Kwasniewski, al que acompañó el ministro Siwiec.
Postion	Tokenization
1	El
2	vídeo
3	fue
4	grabado
5	hace
6	tres
7	años
8	,
9	durante
10	una
11	visita
12	a
13	la
14	ciudad
15	de
16	Kalisz
17	del
18	presidente
19	de
20	la
21	República
22	Aleksander
23	Kwasniewski
24	,
25	al
26	que
27	acompañó
28	el
29	ministro
30	Siwiec
31	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	vídeo	NOUN	4	nsubj
3	fue	AUX	4	aux
4	grabado	VERB	0	root
5	hace	VERB	4	advcl
6	tres	NUM	7	nummod
7	años	NOUN	5	obj
8	,	PUNCT	11	punct
9	durante	ADP	11	case
10	una	DET	11	det
11	visita	NOUN	4	obl
12	a	ADP	14	case
13	la	DET	14	det
14	ciudad	NOUN	11	nmod
15	de	ADP	16	case
16	Kalisz	PROPN	14	nmod
17	del	ADP	18	case
18	presidente	NOUN	11	nmod
19	de	ADP	21	case
20	la	DET	21	det
21	República	PROPN	18	nmod
22	Aleksander	PROPN	18	appos
23	Kwasniewski	PROPN	22	flat
24	,	PUNCT	27	punct
25	al	ADP	26	case
26	que	PRON	27	obj
27	acompañó	VERB	18	acl
28	el	DET	29	det
29	ministro	NOUN	27	nsubj
30	Siwiec	PROPN	29	appos
31	.	PUNCT	4	punct