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 antes de eso, habrá otras coincidencias: cuando Clinton, esté llegando esta tarde al Palacio de Bellevue, donde será recibido con honores militares por el presidente alemán, Johannes Rau, a pocos metros de distancia, en la Avenida 17 de Junio, los corredores de la Vuelta Ciclista a Alemania darán los últimos golpes de pedal de su entrada triunfal a la capital.
Postion	Tokenization
1	Pero
2	antes
3	de
4	eso
5	,
6	habrá
7	otras
8	coincidencias
9	:
10	cuando
11	Clinton
12	,
13	esté
14	llegando
15	esta
16	tarde
17	al
18	Palacio
19	de
20	Bellevue
21	,
22	donde
23	será
24	recibido
25	con
26	honores
27	militares
28	por
29	el
30	presidente
31	alemán
32	,
33	Johannes
34	Rau
35	,
36	a
37	pocos
38	metros
39	de
40	distancia
41	,
42	en
43	la
44	Avenida
45	17
46	de
47	Junio
48	,
49	los
50	corredores
51	de
52	la
53	Vuelta
54	Ciclista
55	a
56	Alemania
57	darán
58	los
59	últimos
60	golpes
61	de
62	pedal
63	de
64	su
65	entrada
66	triunfal
67	a
68	la
69	capital
70	.
Position	Tokenization	UPOS	Head	Deprel
1	Pero	CCONJ	6	advmod
2	antes	ADV	6	advmod
3	de	ADP	4	case
4	eso	PRON	2	obl
5	,	PUNCT	2	punct
6	habrá	AUX	0	root
7	otras	DET	8	det
8	coincidencias	NOUN	6	obj
9	:	PUNCT	57	punct
10	cuando	SCONJ	14	mark
11	Clinton	PROPN	14	nsubj
12	,	PUNCT	11	punct
13	esté	AUX	14	aux
14	llegando	VERB	57	advcl
15	esta	DET	16	det
16	tarde	NOUN	14	obl
17	al	ADP	18	case
18	Palacio	PROPN	14	obl
19	de	ADP	20	case
20	Bellevue	PROPN	18	flat
21	,	PUNCT	24	punct
22	donde	PRON	24	obl
23	será	AUX	24	aux
24	recibido	VERB	18	acl
25	con	ADP	26	case
26	honores	NOUN	24	obl
27	militares	ADJ	26	amod
28	por	ADP	30	case
29	el	DET	30	det
30	presidente	NOUN	24	obj
31	alemán	ADJ	30	amod
32	,	PUNCT	33	punct
33	Johannes	PROPN	30	appos
34	Rau	PROPN	33	flat
35	,	PUNCT	33	punct
36	a	ADP	38	case
37	pocos	DET	38	det
38	metros	NOUN	57	obl
39	de	ADP	40	case
40	distancia	NOUN	38	nmod
41	,	PUNCT	44	punct
42	en	ADP	44	case
43	la	DET	44	det
44	Avenida	PROPN	57	obl
45	17	NUM	44	nummod
46	de	ADP	47	case
47	Junio	PROPN	44	flat
48	,	PUNCT	44	punct
49	los	DET	50	det
50	corredores	NOUN	57	nsubj
51	de	ADP	53	case
52	la	DET	53	det
53	Vuelta	PROPN	50	nmod
54	Ciclista	PROPN	53	flat
55	a	ADP	56	case
56	Alemania	PROPN	53	nmod
57	darán	VERB	8	acl
58	los	DET	60	det
59	últimos	ADJ	60	amod
60	golpes	NOUN	57	obj
61	de	ADP	62	case
62	pedal	NOUN	60	nmod
63	de	ADP	65	case
64	su	DET	65	det
65	entrada	NOUN	60	nmod
66	triunfal	ADJ	65	amod
67	a	ADP	69	case
68	la	DET	69	det
69	capital	NOUN	65	nmod
70	.	PUNCT	6	punct