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 colectivo inmigrante tiene un serio problema, porque no ha sabido organizarse para entablar un diálogo fluido con la Administración.
Postion	Tokenization
1	El
2	colectivo
3	inmigrante
4	tiene
5	un
6	serio
7	problema
8	,
9	porque
10	no
11	ha
12	sabido
13	organizarse
14	organizar
15	se
16	para
17	entablar
18	un
19	diálogo
20	fluido
21	con
22	la
23	Administración
24	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	colectivo	NOUN	4	nsubj
3	inmigrante	ADJ	2	amod
4	tiene	VERB	0	root
5	un	DET	7	det
6	serio	ADJ	7	amod
7	problema	NOUN	4	obj
8	,	PUNCT	12	punct
9	porque	SCONJ	12	mark
10	no	ADV	12	advmod
11	ha	AUX	12	aux
12	sabido	VERB	4	advcl
13	organizarse	_	None	_
14	organizar	VERB	12	xcomp
15	se	PRON	13	obj
16	para	ADP	16	mark
17	entablar	VERB	13	advcl
18	un	DET	18	det
19	diálogo	NOUN	16	obj
20	fluido	ADJ	18	amod
21	con	ADP	22	case
22	la	DET	22	det
23	Administración	PROPN	16	obl
24	.	PUNCT	4	punct