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:
Pero el problema de Turquía es diferente del de los demás países de la zona, precisamente porque Turquía está integrada en los grandes mecanismos europeos.
Postion	Tokenization
1	Pero
2	el
3	problema
4	de
5	Turquía
6	es
7	diferente
8	del
9	de
10	los
11	demás
12	países
13	de
14	la
15	zona
16	,
17	precisamente
18	porque
19	Turquía
20	está
21	integrada
22	en
23	los
24	grandes
25	mecanismos
26	europeos
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Pero	CCONJ	7	advmod
2	el	DET	3	det
3	problema	NOUN	7	nsubj
4	de	ADP	5	case
5	Turquía	PROPN	3	nmod
6	es	AUX	7	cop
7	diferente	ADJ	0	root
8	del	ADP	12	case
9	de	ADP	12	case
10	los	DET	12	det
11	demás	DET	10	det
12	países	NOUN	7	nmod
13	de	ADP	15	case
14	la	DET	15	det
15	zona	NOUN	12	nmod
16	,	PUNCT	21	punct
17	precisamente	ADV	21	advmod
18	porque	SCONJ	21	mark
19	Turquía	PROPN	21	nsubj
20	está	AUX	21	cop
21	integrada	ADJ	7	advcl
22	en	ADP	25	case
23	los	DET	25	det
24	grandes	ADJ	25	amod
25	mecanismos	NOUN	21	obl
26	europeos	ADJ	25	amod
27	.	PUNCT	7	punct