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:
Unos desconocidos asaltaron el pasado día 27 la casa que el presidente de la Generalitat, Jordi Pujol, posee en la calle de Fèlix Millet de Premià de Dalt (El Maresme).
Postion	Tokenization
1	Unos
2	desconocidos
3	asaltaron
4	el
5	pasado
6	día
7	27
8	la
9	casa
10	que
11	el
12	presidente
13	de
14	la
15	Generalitat
16	,
17	Jordi
18	Pujol
19	,
20	posee
21	en
22	la
23	calle
24	de
25	Fèlix
26	Millet
27	de
28	Premià
29	de
30	Dalt
31	(
32	El
33	Maresme
34	)
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Unos	DET	2	det
2	desconocidos	ADJ	3	nsubj
3	asaltaron	VERB	0	root
4	el	DET	6	det
5	pasado	ADJ	6	amod
6	día	NOUN	3	obl
7	27	NUM	6	compound
8	la	DET	9	det
9	casa	NOUN	3	obj
10	que	PRON	20	obj
11	el	DET	12	det
12	presidente	NOUN	20	nsubj
13	de	ADP	15	case
14	la	DET	15	det
15	Generalitat	PROPN	12	nmod
16	,	PUNCT	17	punct
17	Jordi	PROPN	12	appos
18	Pujol	PROPN	17	flat
19	,	PUNCT	17	punct
20	posee	VERB	9	acl
21	en	ADP	23	case
22	la	DET	23	det
23	calle	NOUN	20	obl
24	de	ADP	25	case
25	Fèlix	PROPN	23	nmod
26	Millet	PROPN	25	flat
27	de	ADP	28	case
28	Premià	PROPN	23	nmod
29	de	ADP	30	case
30	Dalt	PROPN	28	flat
31	(	PUNCT	32	punct
32	El	DET	33	det
33	Maresme	PROPN	28	flat
34	)	PUNCT	3	punct
35	.	PUNCT	3	punct