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 grupo químico BASF integrará sus actividades de España y el sur de Europa en una nueva división dirigida desde Alemania por Dieter Tomaschewscky.
Postion	Tokenization
1	El
2	grupo
3	químico
4	BASF
5	integrará
6	sus
7	actividades
8	de
9	España
10	y
11	el
12	sur
13	de
14	Europa
15	en
16	una
17	nueva
18	división
19	dirigida
20	desde
21	Alemania
22	por
23	Dieter
24	Tomaschewscky
25	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	grupo	NOUN	5	nsubj
3	químico	ADJ	2	amod
4	BASF	PROPN	2	appos
5	integrará	VERB	0	root
6	sus	DET	7	det
7	actividades	NOUN	5	obj
8	de	ADP	9	case
9	España	PROPN	7	nmod
10	y	CCONJ	12	cc
11	el	DET	12	det
12	sur	NOUN	9	conj
13	de	ADP	14	case
14	Europa	PROPN	12	nmod
15	en	ADP	18	case
16	una	DET	18	det
17	nueva	ADJ	18	amod
18	división	NOUN	5	obl
19	dirigida	ADJ	18	amod
20	desde	ADP	21	case
21	Alemania	PROPN	19	obl
22	por	ADP	23	case
23	Dieter	PROPN	19	obj
24	Tomaschewscky	PROPN	23	flat
25	.	PUNCT	5	punct