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:
Un mundo patas arriba, un milagro alemán visto escépticamente, he ahí la nota que reiterará (revisando la historia nacional con El rodaballo, reelaborando la difícil Alemania unida con Es cuento largo) la producción de Günter Grass.
Postion	Tokenization
1	Un
2	mundo
3	patas
4	arriba
5	,
6	un
7	milagro
8	alemán
9	visto
10	escépticamente
11	,
12	he
13	ahí
14	la
15	nota
16	que
17	reiterará
18	(
19	revisando
20	la
21	historia
22	nacional
23	con
24	El
25	rodaballo
26	,
27	reelaborando
28	la
29	difícil
30	Alemania
31	unida
32	con
33	Es
34	cuento
35	largo
36	)
37	la
38	producción
39	de
40	Günter
41	Grass
42	.
Position	Tokenization	UPOS	Head	Deprel
1	Un	DET	2	det
2	mundo	NOUN	0	root
3	patas	NOUN	2	advmod
4	arriba	NOUN	3	fixed
5	,	PUNCT	2	punct
6	un	DET	7	det
7	milagro	NOUN	2	appos
8	alemán	ADJ	7	amod
9	visto	ADJ	7	amod
10	escépticamente	ADV	9	advmod
11	,	PUNCT	2	punct
12	he	NOUN	2	advmod
13	ahí	ADV	12	fixed
14	la	DET	15	det
15	nota	NOUN	2	appos
16	que	PRON	17	obj
17	reiterará	VERB	15	acl
18	(	PUNCT	19	punct
19	revisando	VERB	17	advcl
20	la	DET	21	det
21	historia	NOUN	19	obj
22	nacional	ADJ	21	amod
23	con	ADP	25	case
24	El	DET	25	det
25	rodaballo	PROPN	19	obl
26	,	PUNCT	19	punct
27	reelaborando	VERB	19	advcl
28	la	DET	30	det
29	difícil	ADJ	30	amod
30	Alemania	PROPN	27	obj
31	unida	ADJ	30	amod
32	con	ADP	33	case
33	Es	PROPN	27	obl
34	cuento	PROPN	33	flat
35	largo	PROPN	33	flat
36	)	PUNCT	19	punct
37	la	DET	38	det
38	producción	NOUN	17	nsubj
39	de	ADP	40	case
40	Günter	PROPN	38	nmod
41	Grass	PROPN	40	flat
42	.	PUNCT	2	punct