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 tirador alemán Arnd Schmitt ha sido el brillante vencedor de la vigésima cuarta edición del Torneo Internacional "Ciutat de Barcelona", prueba puntuable para la Copa del Mundo de Esgrima en la modalidad de espada.
Postion	Tokenization
1	El
2	tirador
3	alemán
4	Arnd
5	Schmitt
6	ha
7	sido
8	el
9	brillante
10	vencedor
11	de
12	la
13	vigésima
14	cuarta
15	edición
16	del
17	Torneo
18	Internacional
19	"
20	Ciutat
21	de
22	Barcelona
23	"
24	,
25	prueba
26	puntuable
27	para
28	la
29	Copa
30	del
31	Mundo
32	de
33	Esgrima
34	en
35	la
36	modalidad
37	de
38	espada
39	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	tirador	NOUN	10	nsubj
3	alemán	ADJ	2	amod
4	Arnd	PROPN	2	appos
5	Schmitt	PROPN	4	flat
6	ha	AUX	10	aux
7	sido	AUX	10	cop
8	el	DET	10	det
9	brillante	ADJ	10	amod
10	vencedor	NOUN	0	root
11	de	ADP	15	case
12	la	DET	15	det
13	vigésima	ADJ	15	amod
14	cuarta	ADJ	15	amod
15	edición	NOUN	10	nmod
16	del	ADP	17	case
17	Torneo	PROPN	15	nmod
18	Internacional	PROPN	17	flat
19	"	PUNCT	20	punct
20	Ciutat	PROPN	17	flat
21	de	ADP	22	case
22	Barcelona	PROPN	20	flat
23	"	PUNCT	20	punct
24	,	PUNCT	25	punct
25	prueba	NOUN	17	appos
26	puntuable	ADJ	25	amod
27	para	ADP	29	case
28	la	DET	29	det
29	Copa	PROPN	26	nmod
30	del	ADP	31	case
31	Mundo	PROPN	29	flat
32	de	ADP	33	case
33	Esgrima	PROPN	29	flat
34	en	ADP	36	case
35	la	DET	36	det
36	modalidad	NOUN	26	nmod
37	de	ADP	38	case
38	espada	NOUN	36	nmod
39	.	PUNCT	10	punct