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:
Las cifras aún no son oficiales, pero fuentes del Estado calculan hoy en un millón los alemanes que dejaron atrás el Este para instalarse en el próspero Oeste.
Postion	Tokenization
1	Las
2	cifras
3	aún
4	no
5	son
6	oficiales
7	,
8	pero
9	fuentes
10	del
11	Estado
12	calculan
13	hoy
14	en
15	un
16	millón
17	los
18	alemanes
19	que
20	dejaron
21	atrás
22	el
23	Este
24	para
25	instalarse
26	instalar
27	se
28	en
29	el
30	próspero
31	Oeste
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Las	DET	2	det
2	cifras	NOUN	6	nsubj
3	aún	ADV	6	advmod
4	no	ADV	6	advmod
5	son	AUX	6	cop
6	oficiales	ADJ	0	root
7	,	PUNCT	12	punct
8	pero	CCONJ	12	cc
9	fuentes	NOUN	12	nsubj
10	del	ADP	11	case
11	Estado	PROPN	9	nmod
12	calculan	VERB	6	conj
13	hoy	ADV	12	advmod
14	en	ADP	16	case
15	un	NUM	16	nummod
16	millón	NOUN	12	obl
17	los	DET	18	det
18	alemanes	NOUN	12	obj
19	que	PRON	20	nsubj
20	dejaron	VERB	18	acl
21	atrás	ADV	20	advmod
22	el	DET	23	det
23	Este	PROPN	20	obj
24	para	ADP	25	mark
25	instalarse	_	None	_
26	instalar	VERB	20	advcl
27	se	PRON	25	expl:pv
28	en	ADP	30	case
29	el	DET	30	det
30	próspero	ADJ	30	amod
31	Oeste	PROPN	25	obl
32	.	PUNCT	6	punct