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:
Casualmente, Toni participó hoy en una sesión fotográfica en el estadio Vicente Calderón junto a Molina organizada por el patrocinador de la selección española.
Postion	Tokenization
1	Casualmente
2	,
3	Toni
4	participó
5	hoy
6	en
7	una
8	sesión
9	fotográfica
10	en
11	el
12	estadio
13	Vicente
14	Calderón
15	junto
16	a
17	Molina
18	organizada
19	por
20	el
21	patrocinador
22	de
23	la
24	selección
25	española
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Casualmente	ADV	4	advmod
2	,	PUNCT	1	punct
3	Toni	PROPN	4	nsubj
4	participó	VERB	0	root
5	hoy	ADV	4	advmod
6	en	ADP	8	case
7	una	DET	8	det
8	sesión	NOUN	4	obj
9	fotográfica	ADJ	8	amod
10	en	ADP	12	case
11	el	DET	12	det
12	estadio	NOUN	8	nmod
13	Vicente	PROPN	12	appos
14	Calderón	PROPN	13	flat
15	junto	ADJ	17	case
16	a	ADP	15	fixed
17	Molina	PROPN	8	nmod
18	organizada	ADJ	8	amod
19	por	ADP	21	case
20	el	DET	21	det
21	patrocinador	NOUN	18	obj
22	de	ADP	24	case
23	la	DET	24	det
24	selección	NOUN	21	nmod
25	española	ADJ	24	amod
26	.	PUNCT	4	punct