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:
Pero en Europa y en las universidades, donde el juego es más previsible, quien tiene el base y el pívot tiene el éxito asegurado.
Postion	Tokenization
1	Pero
2	en
3	Europa
4	y
5	en
6	las
7	universidades
8	,
9	donde
10	el
11	juego
12	es
13	más
14	previsible
15	,
16	quien
17	tiene
18	el
19	base
20	y
21	el
22	pívot
23	tiene
24	el
25	éxito
26	asegurado
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Pero	CCONJ	23	advmod
2	en	ADP	3	case
3	Europa	PROPN	23	obl
4	y	CCONJ	7	cc
5	en	ADP	7	case
6	las	DET	7	det
7	universidades	NOUN	3	conj
8	,	PUNCT	14	punct
9	donde	PRON	14	obl
10	el	DET	11	det
11	juego	NOUN	14	nsubj
12	es	AUX	14	cop
13	más	ADV	14	advmod
14	previsible	ADJ	3	acl
15	,	PUNCT	14	punct
16	quien	PRON	17	nsubj
17	tiene	VERB	23	csubj
18	el	DET	19	det
19	base	NOUN	17	obj
20	y	CCONJ	22	cc
21	el	DET	22	det
22	pívot	NOUN	19	conj
23	tiene	VERB	0	root
24	el	DET	25	det
25	éxito	NOUN	23	obj
26	asegurado	ADJ	25	amod
27	.	PUNCT	23	punct