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:
"Estamos asqueados", manifestó Thoko Matsche, líder de la opositora Asamblea Nacional Constituyente (ANC), que organizó la marcha.
Postion	Tokenization
1	"
2	Estamos
3	asqueados
4	"
5	,
6	manifestó
7	Thoko
8	Matsche
9	,
10	líder
11	de
12	la
13	opositora
14	Asamblea
15	Nacional
16	Constituyente
17	(
18	ANC
19	)
20	,
21	que
22	organizó
23	la
24	marcha
25	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	3	punct
2	Estamos	AUX	3	cop
3	asqueados	ADJ	6	ccomp
4	"	PUNCT	3	punct
5	,	PUNCT	3	punct
6	manifestó	VERB	0	root
7	Thoko	PROPN	6	nsubj
8	Matsche	PROPN	7	flat
9	,	PUNCT	10	punct
10	líder	NOUN	7	appos
11	de	ADP	14	case
12	la	DET	14	det
13	opositora	ADJ	14	amod
14	Asamblea	PROPN	10	nmod
15	Nacional	PROPN	14	flat
16	Constituyente	PROPN	14	flat
17	(	PUNCT	18	punct
18	ANC	PROPN	14	flat
19	)	PUNCT	18	punct
20	,	PUNCT	22	punct
21	que	PRON	22	nsubj
22	organizó	VERB	14	acl
23	la	DET	24	det
24	marcha	NOUN	22	obj
25	.	PUNCT	6	punct