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:
Rodolfo Daer, secretario general de la Confederación General de Trabajadores (CGT, peronista), había adelantado ayer mismo que el Gobierno pensaba anular hoy el corralito para las cuentas salariales.
Postion	Tokenization
1	Rodolfo
2	Daer
3	,
4	secretario
5	general
6	de
7	la
8	Confederación
9	General
10	de
11	Trabajadores
12	(
13	CGT
14	,
15	peronista
16	)
17	,
18	había
19	adelantado
20	ayer
21	mismo
22	que
23	el
24	Gobierno
25	pensaba
26	anular
27	hoy
28	el
29	corralito
30	para
31	las
32	cuentas
33	salariales
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Rodolfo	PROPN	19	nsubj
2	Daer	PROPN	1	flat
3	,	PUNCT	4	punct
4	secretario	NOUN	1	appos
5	general	ADJ	4	amod
6	de	ADP	8	case
7	la	DET	8	det
8	Confederación	PROPN	4	nmod
9	General	PROPN	8	flat
10	de	ADP	11	case
11	Trabajadores	PROPN	8	flat
12	(	PUNCT	13	punct
13	CGT	PROPN	8	flat
14	,	PUNCT	15	punct
15	peronista	ADJ	13	amod
16	)	PUNCT	13	punct
17	,	PUNCT	4	punct
18	había	AUX	19	aux
19	adelantado	VERB	0	root
20	ayer	ADV	19	advmod
21	mismo	ADJ	20	advmod
22	que	SCONJ	25	mark
23	el	DET	24	det
24	Gobierno	PROPN	25	nsubj
25	pensaba	VERB	19	ccomp
26	anular	VERB	25	xcomp
27	hoy	ADV	26	advmod
28	el	DET	29	det
29	corralito	NOUN	26	obj
30	para	ADP	32	case
31	las	DET	32	det
32	cuentas	NOUN	26	obl
33	salariales	ADJ	32	amod
34	.	PUNCT	19	punct