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:
"Creo que las autoridades egipcias tienen ya los mapas de la situación original de las minas y, en cualquier caso, estamos dispuestos a ayudarles a retirarlas", recalcó Scharpíng.
Postion	Tokenization
1	"
2	Creo
3	que
4	las
5	autoridades
6	egipcias
7	tienen
8	ya
9	los
10	mapas
11	de
12	la
13	situación
14	original
15	de
16	las
17	minas
18	y
19	,
20	en
21	cualquier
22	caso
23	,
24	estamos
25	dispuestos
26	a
27	ayudarles
28	ayudar
29	les
30	a
31	retirarlas
32	retirar
33	las
34	"
35	,
36	recalcó
37	Scharpíng
38	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	2	punct
2	Creo	VERB	34	ccomp
3	que	SCONJ	7	mark
4	las	DET	5	det
5	autoridades	NOUN	7	nsubj
6	egipcias	ADJ	5	amod
7	tienen	VERB	2	ccomp
8	ya	ADV	7	advmod
9	los	DET	10	det
10	mapas	NOUN	7	obj
11	de	ADP	13	case
12	la	DET	13	det
13	situación	NOUN	10	nmod
14	original	ADJ	13	amod
15	de	ADP	17	case
16	las	DET	17	det
17	minas	NOUN	13	nmod
18	y	CCONJ	25	cc
19	,	PUNCT	22	punct
20	en	ADP	22	case
21	cualquier	DET	22	det
22	caso	NOUN	25	obl
23	,	PUNCT	22	punct
24	estamos	AUX	25	cop
25	dispuestos	ADJ	2	conj
26	a	ADP	27	mark
27	ayudarles	_	None	_
28	ayudar	VERB	25	xcomp
29	les	PRON	27	obj
30	a	ADP	30	mark
31	retirarlas	_	None	_
32	retirar	VERB	27	xcomp
33	las	PRON	30	obj
34	"	PUNCT	2	punct
35	,	PUNCT	2	punct
36	recalcó	VERB	0	root
37	Scharpíng	PROPN	34	nsubj
38	.	PUNCT	34	punct