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 tercera muerte en circunstancias similares se produjo el 22 de febrero de 1998, cuando un cascote que cayó desde una fachada de un edificio del paseo de Gràcia cayó sobre una turista alemana.
Postion	Tokenization
1	La
2	tercera
3	muerte
4	en
5	circunstancias
6	similares
7	se
8	produjo
9	el
10	22
11	de
12	febrero
13	de
14	1998
15	,
16	cuando
17	un
18	cascote
19	que
20	cayó
21	desde
22	una
23	fachada
24	de
25	un
26	edificio
27	del
28	paseo
29	de
30	Gràcia
31	cayó
32	sobre
33	una
34	turista
35	alemana
36	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	3	det
2	tercera	ADJ	3	amod
3	muerte	NOUN	8	nsubj
4	en	ADP	5	case
5	circunstancias	NOUN	3	nmod
6	similares	ADJ	5	amod
7	se	PRON	8	expl:pv
8	produjo	VERB	0	root
9	el	DET	10	det
10	22	NUM	8	obl
11	de	ADP	12	case
12	febrero	NOUN	10	compound
13	de	ADP	14	case
14	1998	NUM	10	compound
15	,	PUNCT	31	punct
16	cuando	PRON	31	obl
17	un	DET	18	det
18	cascote	NOUN	31	nsubj
19	que	PRON	20	nsubj
20	cayó	VERB	18	acl
21	desde	ADP	23	case
22	una	DET	23	det
23	fachada	NOUN	20	obl
24	de	ADP	26	case
25	un	DET	26	det
26	edificio	NOUN	23	nmod
27	del	ADP	28	case
28	paseo	NOUN	26	nmod
29	de	ADP	30	case
30	Gràcia	PROPN	28	nmod
31	cayó	VERB	10	acl
32	sobre	ADP	34	case
33	una	DET	34	det
34	turista	NOUN	31	obl
35	alemana	ADJ	34	amod
36	.	PUNCT	8	punct