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 sindicato alemán del sector químico IG BCE declaró ayer que aceptaría la fusión sólo si ésta no conduce a una supresión masiva de empleo.
Postion	Tokenization
1	El
2	sindicato
3	alemán
4	del
5	sector
6	químico
7	IG
8	BCE
9	declaró
10	ayer
11	que
12	aceptaría
13	la
14	fusión
15	sólo
16	si
17	ésta
18	no
19	conduce
20	a
21	una
22	supresión
23	masiva
24	de
25	empleo
26	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	sindicato	NOUN	9	nsubj
3	alemán	ADJ	2	amod
4	del	ADP	5	case
5	sector	NOUN	2	nmod
6	químico	ADJ	5	amod
7	IG	PROPN	2	appos
8	BCE	PROPN	7	flat
9	declaró	VERB	0	root
10	ayer	ADV	9	advmod
11	que	SCONJ	12	mark
12	aceptaría	VERB	9	ccomp
13	la	DET	14	det
14	fusión	NOUN	12	obj
15	sólo	ADV	12	advmod
16	si	SCONJ	19	mark
17	ésta	PRON	19	nsubj
18	no	ADV	19	advmod
19	conduce	VERB	12	advcl
20	a	ADP	22	case
21	una	DET	22	det
22	supresión	NOUN	19	obj
23	masiva	ADJ	22	amod
24	de	ADP	25	case
25	empleo	NOUN	22	nmod
26	.	PUNCT	9	punct