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:
Se trata de acontecimientos históricos y que un equipo que ha sido campeón europeo como el Hamburgo venga a jugar aquí demuestra que "es un partido de gran prestigio".
Postion	Tokenization
1	Se
2	trata
3	de
4	acontecimientos
5	históricos
6	y
7	que
8	un
9	equipo
10	que
11	ha
12	sido
13	campeón
14	europeo
15	como
16	el
17	Hamburgo
18	venga
19	a
20	jugar
21	aquí
22	demuestra
23	que
24	"
25	es
26	un
27	partido
28	de
29	gran
30	prestigio
31	"
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Se	PRON	2	expl:impers
2	trata	VERB	0	root
3	de	ADP	4	case
4	acontecimientos	NOUN	2	obj
5	históricos	ADJ	4	amod
6	y	CCONJ	22	cc
7	que	SCONJ	18	mark
8	un	DET	9	det
9	equipo	NOUN	18	nsubj
10	que	PRON	13	nsubj
11	ha	AUX	13	aux
12	sido	AUX	13	cop
13	campeón	NOUN	9	acl
14	europeo	ADJ	13	amod
15	como	SCONJ	17	mark
16	el	DET	17	det
17	Hamburgo	PROPN	9	nmod
18	venga	VERB	22	csubj
19	a	ADP	20	mark
20	jugar	VERB	18	advcl
21	aquí	ADV	20	advmod
22	demuestra	VERB	2	conj
23	que	SCONJ	27	mark
24	"	PUNCT	27	punct
25	es	AUX	27	cop
26	un	DET	27	det
27	partido	NOUN	22	ccomp
28	de	ADP	30	case
29	gran	ADJ	30	amod
30	prestigio	NOUN	27	nmod
31	"	PUNCT	27	punct
32	.	PUNCT	2	punct