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:
"No podemos decir a la Hacienda que los alemanes pusieron un importe mayor por error, si no nos pedirá que paguemos el impuesto sobre la cantidad expresada en palabras", explicó el presidente del Zagreb, Miroslav Marcinkovic.
Postion	Tokenization
1	"
2	No
3	podemos
4	decir
5	a
6	la
7	Hacienda
8	que
9	los
10	alemanes
11	pusieron
12	un
13	importe
14	mayor
15	por
16	error
17	,
18	si
19	no
20	nos
21	pedirá
22	que
23	paguemos
24	el
25	impuesto
26	sobre
27	la
28	cantidad
29	expresada
30	en
31	palabras
32	"
33	,
34	explicó
35	el
36	presidente
37	del
38	Zagreb
39	,
40	Miroslav
41	Marcinkovic
42	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	4	punct
2	No	ADV	4	advmod
3	podemos	AUX	4	aux
4	decir	VERB	34	xcomp
5	a	ADP	7	case
6	la	DET	7	det
7	Hacienda	PROPN	4	iobj
8	que	SCONJ	11	mark
9	los	DET	10	det
10	alemanes	NOUN	11	nsubj
11	pusieron	VERB	4	ccomp
12	un	DET	13	det
13	importe	NOUN	11	obj
14	mayor	ADJ	13	amod
15	por	ADP	16	case
16	error	NOUN	11	obl
17	,	PUNCT	4	punct
18	si	SCONJ	19	mark
19	no	ADV	21	advmod
20	nos	PRON	21	iobj
21	pedirá	VERB	4	advcl
22	que	SCONJ	23	mark
23	paguemos	VERB	21	ccomp
24	el	DET	25	det
25	impuesto	NOUN	23	obj
26	sobre	ADP	28	case
27	la	DET	28	det
28	cantidad	NOUN	25	nmod
29	expresada	ADJ	28	amod
30	en	ADP	31	case
31	palabras	NOUN	29	obl
32	"	PUNCT	4	punct
33	,	PUNCT	4	punct
34	explicó	VERB	0	root
35	el	DET	36	det
36	presidente	NOUN	34	nsubj
37	del	ADP	38	case
38	Zagreb	PROPN	36	nmod
39	,	PUNCT	40	punct
40	Miroslav	PROPN	36	appos
41	Marcinkovic	PROPN	40	flat
42	.	PUNCT	34	punct