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 sobrino convenció a su tío para que entrase en un parking de la plaza de Catalunya, para alegría de las fuerzas de seguridad.
Postion	Tokenization
1	El
2	sobrino
3	convenció
4	a
5	su
6	tío
7	para
8	que
9	entrase
10	en
11	un
12	parking
13	de
14	la
15	plaza
16	de
17	Catalunya
18	,
19	para
20	alegría
21	de
22	las
23	fuerzas
24	de
25	seguridad
26	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	sobrino	NOUN	3	nsubj
3	convenció	VERB	0	root
4	a	ADP	6	case
5	su	DET	6	det
6	tío	NOUN	3	obj
7	para	ADP	9	mark
8	que	SCONJ	9	mark
9	entrase	VERB	3	advcl
10	en	ADP	12	case
11	un	DET	12	det
12	parking	NOUN	9	obl
13	de	ADP	15	case
14	la	DET	15	det
15	plaza	NOUN	12	nmod
16	de	ADP	17	case
17	Catalunya	PROPN	15	nmod
18	,	PUNCT	20	punct
19	para	ADP	20	case
20	alegría	NOUN	3	obl
21	de	ADP	23	case
22	las	DET	23	det
23	fuerzas	NOUN	20	nmod
24	de	ADP	25	case
25	seguridad	NOUN	23	nmod
26	.	PUNCT	3	punct