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:
Alemania, por su parte, el país con más renta de los analizados, es más cara para todo, excepto para el paquete de Winston.
Postion	Tokenization
1	Alemania
2	,
3	por
4	su
5	parte
6	,
7	el
8	país
9	con
10	más
11	renta
12	de
13	los
14	analizados
15	,
16	es
17	más
18	cara
19	para
20	todo
21	,
22	excepto
23	para
24	el
25	paquete
26	de
27	Winston
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Alemania	PROPN	18	nsubj
2	,	PUNCT	5	punct
3	por	ADP	5	case
4	su	DET	5	det
5	parte	NOUN	1	nmod
6	,	PUNCT	5	punct
7	el	DET	8	det
8	país	NOUN	1	appos
9	con	ADP	11	case
10	más	ADV	11	advmod
11	renta	NOUN	8	nmod
12	de	ADP	14	case
13	los	DET	14	det
14	analizados	ADJ	11	amod
15	,	PUNCT	1	punct
16	es	AUX	18	cop
17	más	ADV	18	advmod
18	cara	NOUN	0	root
19	para	ADP	20	case
20	todo	PRON	18	obl
21	,	PUNCT	25	punct
22	excepto	ADP	25	case
23	para	ADP	25	case
24	el	DET	25	det
25	paquete	NOUN	18	obl
26	de	ADP	27	case
27	Winston	PROPN	25	nmod
28	.	PUNCT	18	punct