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 azul era empleado para la Policía, el verde para la Guardia Civil, el marrón para los militares y el francés para los empresarios.
Postion	Tokenization
1	El
2	azul
3	era
4	empleado
5	para
6	la
7	Policía
8	,
9	el
10	verde
11	para
12	la
13	Guardia
14	Civil
15	,
16	el
17	marrón
18	para
19	los
20	militares
21	y
22	el
23	francés
24	para
25	los
26	empresarios
27	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	azul	ADJ	4	nsubj
3	era	AUX	4	aux
4	empleado	VERB	0	root
5	para	ADP	7	case
6	la	DET	7	det
7	Policía	PROPN	4	obl
8	,	PUNCT	10	punct
9	el	DET	10	det
10	verde	ADJ	4	advmod
11	para	ADP	13	case
12	la	DET	13	det
13	Guardia	PROPN	10	nmod
14	Civil	PROPN	13	flat
15	,	PUNCT	17	punct
16	el	DET	17	det
17	marrón	ADJ	4	advmod
18	para	ADP	20	case
19	los	DET	20	det
20	militares	NOUN	17	nmod
21	y	CCONJ	23	cc
22	el	DET	23	det
23	francés	ADJ	4	conj
24	para	ADP	26	case
25	los	DET	26	det
26	empresarios	NOUN	23	nmod
27	.	PUNCT	4	punct