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 fiscal pide un año de prisión y una indemnización de 20 millones de pesetas para José Barnes Piernas, administrador de la empresa propietaria del inmueble de la calle de Roger de Flor del que, en octubre de 1996, cayó una baldosa que mató a la niña de 3 años Ana Collantes.
Postion	Tokenization
1	El
2	fiscal
3	pide
4	un
5	año
6	de
7	prisión
8	y
9	una
10	indemnización
11	de
12	20
13	millones
14	de
15	pesetas
16	para
17	José
18	Barnes
19	Piernas
20	,
21	administrador
22	de
23	la
24	empresa
25	propietaria
26	del
27	inmueble
28	de
29	la
30	calle
31	de
32	Roger
33	de
34	Flor
35	del
36	que
37	,
38	en
39	octubre
40	de
41	1996
42	,
43	cayó
44	una
45	baldosa
46	que
47	mató
48	a
49	la
50	niña
51	de
52	3
53	años
54	Ana
55	Collantes
56	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	fiscal	NOUN	3	nsubj
3	pide	VERB	0	root
4	un	DET	5	det
5	año	NOUN	3	obj
6	de	ADP	7	case
7	prisión	NOUN	5	nmod
8	y	CCONJ	10	cc
9	una	DET	10	det
10	indemnización	NOUN	5	conj
11	de	ADP	13	case
12	20	NUM	13	nummod
13	millones	NOUN	10	nmod
14	de	ADP	15	case
15	pesetas	NOUN	13	nmod
16	para	ADP	17	case
17	José	PROPN	3	obl
18	Barnes	PROPN	17	flat
19	Piernas	PROPN	17	flat
20	,	PUNCT	21	punct
21	administrador	NOUN	17	appos
22	de	ADP	24	case
23	la	DET	24	det
24	empresa	NOUN	21	nmod
25	propietaria	ADJ	24	amod
26	del	ADP	27	case
27	inmueble	NOUN	25	nmod
28	de	ADP	30	case
29	la	DET	30	det
30	calle	NOUN	27	nmod
31	de	ADP	32	case
32	Roger	PROPN	30	nmod
33	de	ADP	34	case
34	Flor	PROPN	32	flat
35	del	ADP	36	case
36	que	PRON	43	obl
37	,	PUNCT	39	punct
38	en	ADP	39	case
39	octubre	NOUN	43	obl
40	de	ADP	41	case
41	1996	NUM	39	compound
42	,	PUNCT	39	punct
43	cayó	VERB	27	acl
44	una	DET	45	det
45	baldosa	NOUN	43	nsubj
46	que	PRON	47	nsubj
47	mató	VERB	45	acl
48	a	ADP	50	case
49	la	DET	50	det
50	niña	NOUN	47	obj
51	de	ADP	53	case
52	3	NUM	53	nummod
53	años	NOUN	50	nmod
54	Ana	PROPN	50	appos
55	Collantes	PROPN	54	flat
56	.	PUNCT	3	punct