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:
Esta orden "envía un mensaje", ya que el Gobierno federal es el principal empleador de Estados Unidos, con 1,8 millones de trabajadores en su nómina.
Postion	Tokenization
1	Esta
2	orden
3	"
4	envía
5	un
6	mensaje
7	"
8	,
9	ya
10	que
11	el
12	Gobierno
13	federal
14	es
15	el
16	principal
17	empleador
18	de
19	Estados
20	Unidos
21	,
22	con
23	1,8
24	millones
25	de
26	trabajadores
27	en
28	su
29	nómina
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Esta	DET	2	det
2	orden	NOUN	4	nsubj
3	"	PUNCT	4	punct
4	envía	VERB	0	root
5	un	DET	6	det
6	mensaje	NOUN	4	obj
7	"	PUNCT	4	punct
8	,	PUNCT	17	punct
9	ya	ADV	17	mark
10	que	SCONJ	9	fixed
11	el	DET	12	det
12	Gobierno	PROPN	17	nsubj
13	federal	ADJ	12	amod
14	es	AUX	17	cop
15	el	DET	17	det
16	principal	ADJ	17	amod
17	empleador	NOUN	4	advcl
18	de	ADP	19	case
19	Estados	PROPN	17	nmod
20	Unidos	PROPN	19	flat
21	,	PUNCT	24	punct
22	con	ADP	24	case
23	1,8	NUM	24	nummod
24	millones	NOUN	17	nmod
25	de	ADP	26	case
26	trabajadores	NOUN	24	nmod
27	en	ADP	29	case
28	su	DET	29	det
29	nómina	NOUN	24	nmod
30	.	PUNCT	4	punct