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 problema está en que la directiva del Werder redactó un contrato en el que el importe del traspaso está escrito correctamente en números (3,700.000 DM), pero erróneamente en letras, donde en lugar de figurar los 3,7 millones acordados, aparece la cantidad de siete millones y medio de marcos alemanes.
Postion	Tokenization
1	El
2	problema
3	está
4	en
5	que
6	la
7	directiva
8	del
9	Werder
10	redactó
11	un
12	contrato
13	en
14	el
15	que
16	el
17	importe
18	del
19	traspaso
20	está
21	escrito
22	correctamente
23	en
24	números
25	(
26	3,700.000
27	DM
28	)
29	,
30	pero
31	erróneamente
32	en
33	letras
34	,
35	donde
36	en
37	lugar
38	de
39	figurar
40	los
41	3,7
42	millones
43	acordados
44	,
45	aparece
46	la
47	cantidad
48	de
49	siete
50	millones
51	y
52	medio
53	de
54	marcos
55	alemanes
56	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	problema	NOUN	3	nsubj
3	está	VERB	0	root
4	en	ADP	10	mark
5	que	SCONJ	10	mark
6	la	DET	7	det
7	directiva	NOUN	10	nsubj
8	del	ADP	9	case
9	Werder	PROPN	7	nmod
10	redactó	VERB	3	ccomp
11	un	DET	12	det
12	contrato	NOUN	10	obj
13	en	ADP	15	case
14	el	DET	15	det
15	que	PRON	20	obl
16	el	DET	17	det
17	importe	NOUN	20	nsubj
18	del	ADP	19	case
19	traspaso	NOUN	17	nmod
20	está	VERB	12	acl
21	escrito	ADJ	20	obj
22	correctamente	ADV	21	advmod
23	en	ADP	24	case
24	números	NOUN	21	obl
25	(	PUNCT	27	punct
26	3,700.000	NUM	27	nummod
27	DM	NOUN	24	appos
28	)	PUNCT	27	punct
29	,	PUNCT	45	punct
30	pero	CCONJ	45	cc
31	erróneamente	ADV	45	advmod
32	en	ADP	33	case
33	letras	NOUN	45	obl
34	,	PUNCT	45	punct
35	donde	PRON	45	obl
36	en	ADP	39	mark
37	lugar	NOUN	36	fixed
38	de	ADP	36	fixed
39	figurar	VERB	45	advcl
40	los	DET	41	det
41	3,7	NUM	42	nummod
42	millones	NOUN	39	nsubj
43	acordados	ADJ	42	amod
44	,	PUNCT	39	punct
45	aparece	VERB	3	conj
46	la	DET	47	det
47	cantidad	NOUN	45	nsubj
48	de	ADP	50	case
49	siete	NUM	50	nummod
50	millones	NOUN	47	nmod
51	y	CCONJ	52	cc
52	medio	NUM	50	conj
53	de	ADP	54	case
54	marcos	NOUN	50	nmod
55	alemanes	ADJ	54	amod
56	.	PUNCT	3	punct