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 alemán que ya fue campeón olímpico en 1988, busca la preparación que le lleve en los próximos Juegos a conseguir su segundo oro.
Postion	Tokenization
1	El
2	alemán
3	que
4	ya
5	fue
6	campeón
7	olímpico
8	en
9	1988
10	,
11	busca
12	la
13	preparación
14	que
15	le
16	lleve
17	en
18	los
19	próximos
20	Juegos
21	a
22	conseguir
23	su
24	segundo
25	oro
26	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	alemán	NOUN	11	nsubj
3	que	PRON	6	nsubj
4	ya	ADV	6	advmod
5	fue	AUX	6	cop
6	campeón	NOUN	2	acl
7	olímpico	ADJ	6	amod
8	en	ADP	9	case
9	1988	NOUN	6	obl
10	,	PUNCT	2	punct
11	busca	VERB	0	root
12	la	DET	13	det
13	preparación	NOUN	11	obj
14	que	PRON	16	nsubj
15	le	PRON	16	iobj
16	lleve	VERB	13	acl
17	en	ADP	20	case
18	los	DET	20	det
19	próximos	ADJ	20	amod
20	Juegos	PROPN	16	obl
21	a	ADP	22	mark
22	conseguir	VERB	16	xcomp
23	su	DET	25	det
24	segundo	ADJ	25	amod
25	oro	NOUN	22	obj
26	.	PUNCT	11	punct