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 Comité de Asuntos Bancarios del Senado aprobó ayer la confirmación de Greenspan como presidente de la Reserva Federal para un cuarto mandato.
Postion	Tokenization
1	El
2	Comité
3	de
4	Asuntos
5	Bancarios
6	del
7	Senado
8	aprobó
9	ayer
10	la
11	confirmación
12	de
13	Greenspan
14	como
15	presidente
16	de
17	la
18	Reserva
19	Federal
20	para
21	un
22	cuarto
23	mandato
24	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Comité	PROPN	8	nsubj
3	de	ADP	4	case
4	Asuntos	PROPN	2	flat
5	Bancarios	PROPN	4	flat
6	del	ADP	7	case
7	Senado	PROPN	4	flat
8	aprobó	VERB	0	root
9	ayer	ADV	8	advmod
10	la	DET	11	det
11	confirmación	NOUN	8	obj
12	de	ADP	13	case
13	Greenspan	PROPN	11	nmod
14	como	SCONJ	15	mark
15	presidente	NOUN	11	nmod
16	de	ADP	18	case
17	la	DET	18	det
18	Reserva	PROPN	15	nmod
19	Federal	PROPN	18	flat
20	para	ADP	23	case
21	un	DET	23	det
22	cuarto	ADJ	23	amod
23	mandato	NOUN	15	nmod
24	.	PUNCT	8	punct