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 se complementa con un proyecto de ley presentado ante el Congreso destinado a prohibir este tipo de discriminación en el sector privado.
Postion	Tokenization
1	Esta
2	orden
3	se
4	complementa
5	con
6	un
7	proyecto
8	de
9	ley
10	presentado
11	ante
12	el
13	Congreso
14	destinado
15	a
16	prohibir
17	este
18	tipo
19	de
20	discriminación
21	en
22	el
23	sector
24	privado
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Esta	DET	2	det
2	orden	NOUN	4	nsubj
3	se	PRON	4	expl:pass
4	complementa	VERB	0	root
5	con	ADP	7	case
6	un	DET	7	det
7	proyecto	NOUN	4	obl
8	de	ADP	9	case
9	ley	NOUN	7	nmod
10	presentado	ADJ	7	amod
11	ante	ADP	13	case
12	el	DET	13	det
13	Congreso	PROPN	10	obl
14	destinado	ADJ	7	amod
15	a	ADP	16	mark
16	prohibir	VERB	14	xcomp
17	este	DET	18	det
18	tipo	NOUN	16	obj
19	de	ADP	20	case
20	discriminación	NOUN	18	nmod
21	en	ADP	23	case
22	el	DET	23	det
23	sector	NOUN	16	obl
24	privado	ADJ	23	amod
25	.	PUNCT	4	punct