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 2.873 billones de pesetas depositados en fondos de pensiones privados de empleados dan a las centrales un gran poder de intervención.
Postion	Tokenization
1	Los
2	2.873
3	billones
4	de
5	pesetas
6	depositados
7	en
8	fondos
9	de
10	pensiones
11	privados
12	de
13	empleados
14	dan
15	a
16	las
17	centrales
18	un
19	gran
20	poder
21	de
22	intervención
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	2.873	NUM	3	nummod
3	billones	NOUN	14	nsubj
4	de	ADP	5	case
5	pesetas	NOUN	3	nmod
6	depositados	ADJ	3	amod
7	en	ADP	8	case
8	fondos	NOUN	6	obl
9	de	ADP	10	case
10	pensiones	NOUN	8	nmod
11	privados	ADJ	8	amod
12	de	ADP	13	case
13	empleados	NOUN	8	nmod
14	dan	VERB	0	root
15	a	ADP	17	case
16	las	DET	17	det
17	centrales	NOUN	14	obj
18	un	DET	20	det
19	gran	ADJ	20	amod
20	poder	NOUN	14	obj
21	de	ADP	22	case
22	intervención	NOUN	20	nmod
23	.	PUNCT	14	punct