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 paro, propuesto por el sindicato IG Metall para el próximo lunes, es el primero que organizan los metalúrgicos de esta región alemana desde la posguerra.
Postion	Tokenization
1	El
2	paro
3	,
4	propuesto
5	por
6	el
7	sindicato
8	IG
9	Metall
10	para
11	el
12	próximo
13	lunes
14	,
15	es
16	el
17	primero
18	que
19	organizan
20	los
21	metalúrgicos
22	de
23	esta
24	región
25	alemana
26	desde
27	la
28	posguerra
29	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	paro	NOUN	15	nsubj
3	,	PUNCT	4	punct
4	propuesto	ADJ	2	amod
5	por	ADP	7	case
6	el	DET	7	det
7	sindicato	NOUN	4	obj
8	IG	PROPN	7	appos
9	Metall	PROPN	8	flat
10	para	ADP	13	case
11	el	DET	13	det
12	próximo	ADJ	13	amod
13	lunes	NOUN	4	obl
14	,	PUNCT	4	punct
15	es	AUX	0	root
16	el	DET	19	det
17	primero	ADJ	19	amod
18	que	PRON	19	obj
19	organizan	VERB	15	ccomp
20	los	DET	21	det
21	metalúrgicos	NOUN	19	nsubj
22	de	ADP	24	case
23	esta	DET	24	det
24	región	NOUN	21	nmod
25	alemana	ADJ	24	amod
26	desde	ADP	28	case
27	la	DET	28	det
28	posguerra	NOUN	19	obl
29	.	PUNCT	15	punct