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:
La anunciada dimisión de Weizman, de 76 años, se formalizó después de que la Fiscalía General del Estado criticara con dureza el hecho de que el presidente recibiera cientos de miles de dólares de regalo de amigos, mientras ocupaba cargos públicos, que no declaró.
Postion	Tokenization
1	La
2	anunciada
3	dimisión
4	de
5	Weizman
6	,
7	de
8	76
9	años
10	,
11	se
12	formalizó
13	después
14	de
15	que
16	la
17	Fiscalía
18	General
19	del
20	Estado
21	criticara
22	con
23	dureza
24	el
25	hecho
26	de
27	que
28	el
29	presidente
30	recibiera
31	cientos
32	de
33	miles
34	de
35	dólares
36	de
37	regalo
38	de
39	amigos
40	,
41	mientras
42	ocupaba
43	cargos
44	públicos
45	,
46	que
47	no
48	declaró
49	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	3	det
2	anunciada	ADJ	3	amod
3	dimisión	NOUN	12	nsubj
4	de	ADP	5	case
5	Weizman	PROPN	3	nmod
6	,	PUNCT	9	punct
7	de	ADP	9	case
8	76	NUM	9	nummod
9	años	NOUN	5	nmod
10	,	PUNCT	9	punct
11	se	PRON	12	expl:pass
12	formalizó	VERB	0	root
13	después	ADV	12	advmod
14	de	ADP	21	mark
15	que	SCONJ	21	mark
16	la	DET	17	det
17	Fiscalía	PROPN	21	nsubj
18	General	PROPN	17	flat
19	del	ADP	20	case
20	Estado	PROPN	17	flat
21	criticara	VERB	13	advcl
22	con	ADP	23	case
23	dureza	NOUN	21	obl
24	el	DET	25	det
25	hecho	NOUN	21	obj
26	de	ADP	30	mark
27	que	SCONJ	30	mark
28	el	DET	29	det
29	presidente	NOUN	30	nsubj
30	recibiera	VERB	25	acl
31	cientos	NUM	30	obj
32	de	ADP	33	case
33	miles	NUM	31	compound
34	de	ADP	35	case
35	dólares	NOUN	33	nmod
36	de	ADP	37	case
37	regalo	NOUN	33	nmod
38	de	ADP	39	case
39	amigos	NOUN	30	obl
40	,	PUNCT	42	punct
41	mientras	SCONJ	42	mark
42	ocupaba	VERB	30	advcl
43	cargos	NOUN	42	obj
44	públicos	ADJ	43	amod
45	,	PUNCT	48	punct
46	que	PRON	48	obj
47	no	ADV	48	advmod
48	declaró	VERB	43	acl
49	.	PUNCT	12	punct