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:
La multinacional alemana se encargará del suministro y mantenimiento de 42 equipos de tratamiento automático de envíos, por un importe de 7.585 millones, que tratarán 11 millones de envíos al día.
Postion	Tokenization
1	La
2	multinacional
3	alemana
4	se
5	encargará
6	del
7	suministro
8	y
9	mantenimiento
10	de
11	42
12	equipos
13	de
14	tratamiento
15	automático
16	de
17	envíos
18	,
19	por
20	un
21	importe
22	de
23	7.585
24	millones
25	,
26	que
27	tratarán
28	11
29	millones
30	de
31	envíos
32	al
33	día
34	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	multinacional	NOUN	5	nsubj
3	alemana	ADJ	2	amod
4	se	PRON	5	expl:pv
5	encargará	VERB	0	root
6	del	ADP	7	case
7	suministro	NOUN	5	obj
8	y	CCONJ	9	cc
9	mantenimiento	NOUN	7	conj
10	de	ADP	12	case
11	42	NUM	12	nummod
12	equipos	NOUN	9	nmod
13	de	ADP	14	case
14	tratamiento	NOUN	12	nmod
15	automático	ADJ	14	amod
16	de	ADP	17	case
17	envíos	NOUN	14	nmod
18	,	PUNCT	21	punct
19	por	ADP	21	case
20	un	DET	21	det
21	importe	NOUN	12	nmod
22	de	ADP	24	case
23	7.585	NUM	24	nummod
24	millones	NOUN	21	nmod
25	,	PUNCT	21	punct
26	que	PRON	27	nsubj
27	tratarán	VERB	12	acl
28	11	NUM	29	nummod
29	millones	NOUN	27	obj
30	de	ADP	31	case
31	envíos	NOUN	29	nmod
32	al	ADP	33	case
33	día	NOUN	29	nmod
34	.	PUNCT	5	punct