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 sábado, cuando los líderes reformistas estén en la recta final de su reunión en el Castillo de Charlottenburg, las prostitutas se apoderarán de algunas de las principales calles de ese mismo barrio.
Postion	Tokenization
1	El
2	sábado
3	,
4	cuando
5	los
6	líderes
7	reformistas
8	estén
9	en
10	la
11	recta
12	final
13	de
14	su
15	reunión
16	en
17	el
18	Castillo
19	de
20	Charlottenburg
21	,
22	las
23	prostitutas
24	se
25	apoderarán
26	de
27	algunas
28	de
29	las
30	principales
31	calles
32	de
33	ese
34	mismo
35	barrio
36	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	sábado	NOUN	25	obl
3	,	PUNCT	11	punct
4	cuando	PRON	11	obl
5	los	DET	6	det
6	líderes	NOUN	11	nsubj
7	reformistas	ADJ	6	amod
8	estén	AUX	11	cop
9	en	ADP	11	case
10	la	DET	11	det
11	recta	NOUN	2	acl
12	final	ADJ	11	amod
13	de	ADP	15	case
14	su	DET	15	det
15	reunión	NOUN	11	nmod
16	en	ADP	18	case
17	el	DET	18	det
18	Castillo	PROPN	15	nmod
19	de	ADP	20	case
20	Charlottenburg	PROPN	18	flat
21	,	PUNCT	11	punct
22	las	DET	23	det
23	prostitutas	NOUN	25	nsubj
24	se	PRON	25	expl:pv
25	apoderarán	VERB	0	root
26	de	ADP	27	case
27	algunas	PRON	25	obj
28	de	ADP	31	case
29	las	DET	31	det
30	principales	ADJ	31	amod
31	calles	NOUN	27	nmod
32	de	ADP	35	case
33	ese	DET	35	det
34	mismo	DET	33	det
35	barrio	NOUN	31	nmod
36	.	PUNCT	25	punct