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:
En segundo lugar, porque la cultura alemana, como vínculo y seña de identidad colectiva de una parte de Europa Central, desborda con mucho la política y no constituye una amenaza para sus vecinos.
Postion	Tokenization
1	En
2	segundo
3	lugar
4	,
5	porque
6	la
7	cultura
8	alemana
9	,
10	como
11	vínculo
12	y
13	seña
14	de
15	identidad
16	colectiva
17	de
18	una
19	parte
20	de
21	Europa
22	Central
23	,
24	desborda
25	con
26	mucho
27	la
28	política
29	y
30	no
31	constituye
32	una
33	amenaza
34	para
35	sus
36	vecinos
37	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	segundo	ADJ	3	amod
3	lugar	NOUN	24	obl
4	,	PUNCT	3	punct
5	porque	SCONJ	24	mark
6	la	DET	7	det
7	cultura	NOUN	24	nsubj
8	alemana	ADJ	7	amod
9	,	PUNCT	11	punct
10	como	SCONJ	11	mark
11	vínculo	NOUN	7	nmod
12	y	CCONJ	13	cc
13	seña	NOUN	11	conj
14	de	ADP	15	case
15	identidad	NOUN	13	nmod
16	colectiva	ADJ	13	amod
17	de	ADP	19	case
18	una	DET	19	det
19	parte	NOUN	13	nmod
20	de	ADP	21	case
21	Europa	PROPN	19	nmod
22	Central	PROPN	21	flat
23	,	PUNCT	11	punct
24	desborda	VERB	0	root
25	con	ADP	26	case
26	mucho	ADV	24	advmod
27	la	DET	28	det
28	política	NOUN	24	obj
29	y	CCONJ	31	cc
30	no	ADV	31	advmod
31	constituye	VERB	24	conj
32	una	DET	33	det
33	amenaza	NOUN	31	obj
34	para	ADP	36	case
35	sus	DET	36	det
36	vecinos	NOUN	31	obl
37	.	PUNCT	24	punct