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 Dieter Baumann, medalla de oro de 5.000 metros en los Juegos Olímpicos de Barcelona, volverá a competir este domingo tras siete meses de sanción por dopaje, a pesar de persistir el suspense sobre el denominado "caso del dentífrico".
Postion	Tokenization
1	El
2	alemán
3	Dieter
4	Baumann
5	,
6	medalla
7	de
8	oro
9	de
10	5.000
11	metros
12	en
13	los
14	Juegos
15	Olímpicos
16	de
17	Barcelona
18	,
19	volverá
20	a
21	competir
22	este
23	domingo
24	tras
25	siete
26	meses
27	de
28	sanción
29	por
30	dopaje
31	,
32	a
33	pesar
34	de
35	persistir
36	el
37	suspense
38	sobre
39	el
40	denominado
41	"
42	caso
43	del
44	dentífrico
45	"
46	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	3	det
2	alemán	ADJ	3	amod
3	Dieter	PROPN	19	nsubj
4	Baumann	PROPN	3	flat
5	,	PUNCT	6	punct
6	medalla	NOUN	3	appos
7	de	ADP	8	case
8	oro	NOUN	6	nmod
9	de	ADP	11	case
10	5.000	NUM	11	nummod
11	metros	NOUN	8	nmod
12	en	ADP	14	case
13	los	DET	14	det
14	Juegos	PROPN	6	nmod
15	Olímpicos	PROPN	14	flat
16	de	ADP	17	case
17	Barcelona	PROPN	14	nmod
18	,	PUNCT	6	punct
19	volverá	VERB	0	root
20	a	ADP	21	mark
21	competir	VERB	19	xcomp
22	este	DET	23	det
23	domingo	NOUN	19	obl
24	tras	ADP	26	case
25	siete	NUM	26	nummod
26	meses	NOUN	19	obl
27	de	ADP	28	case
28	sanción	NOUN	26	nmod
29	por	ADP	30	case
30	dopaje	NOUN	28	nmod
31	,	PUNCT	35	punct
32	a	ADP	35	mark
33	pesar	NOUN	32	fixed
34	de	ADP	32	fixed
35	persistir	VERB	21	advcl
36	el	DET	37	det
37	suspense	NOUN	35	nsubj
38	sobre	ADP	42	case
39	el	DET	42	det
40	denominado	ADJ	42	amod
41	"	PUNCT	42	punct
42	caso	NOUN	37	nmod
43	del	ADP	44	case
44	dentífrico	NOUN	42	nmod
45	"	PUNCT	42	punct
46	.	PUNCT	19	punct