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 lesión de Soldevilla y la convocatoria del mexicano Palencia con su selección provocaron la llamada del centrocampista Iván Díaz, tras su lesión, y de David Catalá, defensa central.
Postion	Tokenization
1	La
2	lesión
3	de
4	Soldevilla
5	y
6	la
7	convocatoria
8	del
9	mexicano
10	Palencia
11	con
12	su
13	selección
14	provocaron
15	la
16	llamada
17	del
18	centrocampista
19	Iván
20	Díaz
21	,
22	tras
23	su
24	lesión
25	,
26	y
27	de
28	David
29	Catalá
30	,
31	defensa
32	central
33	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	lesión	NOUN	14	nsubj
3	de	ADP	4	case
4	Soldevilla	PROPN	2	nmod
5	y	CCONJ	7	cc
6	la	DET	7	det
7	convocatoria	NOUN	2	conj
8	del	ADP	9	case
9	mexicano	NOUN	7	nmod
10	Palencia	PROPN	9	appos
11	con	ADP	13	case
12	su	DET	13	det
13	selección	NOUN	7	nmod
14	provocaron	VERB	0	root
15	la	DET	16	det
16	llamada	NOUN	14	obj
17	del	ADP	18	case
18	centrocampista	NOUN	16	nmod
19	Iván	PROPN	18	appos
20	Díaz	PROPN	19	flat
21	,	PUNCT	24	punct
22	tras	ADP	24	case
23	su	DET	24	det
24	lesión	NOUN	18	nmod
25	,	PUNCT	24	punct
26	y	CCONJ	28	cc
27	de	ADP	28	case
28	David	PROPN	18	conj
29	Catalá	PROPN	28	flat
30	,	PUNCT	31	punct
31	defensa	NOUN	28	appos
32	central	ADJ	31	amod
33	.	PUNCT	14	punct