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:
Reiner es electricista y hace dos años y medio que abandonó Dortmund junto con su mujer para probar suerte en Postdam, cerca de Berlín.
Postion	Tokenization
1	Reiner
2	es
3	electricista
4	y
5	hace
6	dos
7	años
8	y
9	medio
10	que
11	abandonó
12	Dortmund
13	junto
14	con
15	su
16	mujer
17	para
18	probar
19	suerte
20	en
21	Postdam
22	,
23	cerca
24	de
25	Berlín
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Reiner	PROPN	3	nsubj
2	es	AUX	3	cop
3	electricista	NOUN	0	root
4	y	CCONJ	11	cc
5	hace	VERB	11	advcl
6	dos	NUM	7	nummod
7	años	NOUN	5	obj
8	y	CCONJ	9	cc
9	medio	NUM	7	conj
10	que	SCONJ	11	mark
11	abandonó	VERB	3	conj
12	Dortmund	PROPN	11	obj
13	junto	ADJ	16	case
14	con	ADP	13	fixed
15	su	DET	16	det
16	mujer	NOUN	11	obl
17	para	ADP	18	mark
18	probar	VERB	11	advcl
19	suerte	NOUN	18	obj
20	en	ADP	21	case
21	Postdam	PROPN	18	obl
22	,	PUNCT	25	punct
23	cerca	ADV	25	case
24	de	ADP	23	fixed
25	Berlín	PROPN	21	nmod
26	.	PUNCT	3	punct