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:
Los 10.000 manifestantes, que protestaban contra la política de Mugabe, se dispersaron después de que la policía interviniera y sellara la zona.
Postion	Tokenization
1	Los
2	10.000
3	manifestantes
4	,
5	que
6	protestaban
7	contra
8	la
9	política
10	de
11	Mugabe
12	,
13	se
14	dispersaron
15	después
16	de
17	que
18	la
19	policía
20	interviniera
21	y
22	sellara
23	la
24	zona
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	10.000	NUM	3	nummod
3	manifestantes	NOUN	14	nsubj
4	,	PUNCT	6	punct
5	que	PRON	6	nsubj
6	protestaban	VERB	3	acl
7	contra	ADP	9	case
8	la	DET	9	det
9	política	NOUN	6	obl
10	de	ADP	11	case
11	Mugabe	PROPN	9	nmod
12	,	PUNCT	6	punct
13	se	PRON	14	expl:pv
14	dispersaron	VERB	0	root
15	después	ADV	14	advmod
16	de	ADP	20	mark
17	que	SCONJ	20	mark
18	la	DET	19	det
19	policía	NOUN	20	nsubj
20	interviniera	VERB	15	advcl
21	y	CCONJ	22	cc
22	sellara	VERB	20	conj
23	la	DET	24	det
24	zona	NOUN	22	obj
25	.	PUNCT	14	punct