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:
Durante la tregua, Jaime Mayor Oreja situaba al PNV en la encrucijada de regresar junto a los demócratas o seguir con los violentos.
Postion	Tokenization
1	Durante
2	la
3	tregua
4	,
5	Jaime
6	Mayor
7	Oreja
8	situaba
9	al
10	PNV
11	en
12	la
13	encrucijada
14	de
15	regresar
16	junto
17	a
18	los
19	demócratas
20	o
21	seguir
22	con
23	los
24	violentos
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Durante	ADP	3	case
2	la	DET	3	det
3	tregua	NOUN	8	obl
4	,	PUNCT	3	punct
5	Jaime	PROPN	8	nsubj
6	Mayor	PROPN	5	flat
7	Oreja	PROPN	5	flat
8	situaba	VERB	0	root
9	al	ADP	10	case
10	PNV	PROPN	8	obj
11	en	ADP	13	case
12	la	DET	13	det
13	encrucijada	NOUN	8	obl
14	de	ADP	15	mark
15	regresar	VERB	13	acl
16	junto	ADJ	19	case
17	a	ADP	16	fixed
18	los	DET	19	det
19	demócratas	NOUN	15	obl
20	o	CCONJ	21	cc
21	seguir	VERB	15	conj
22	con	ADP	24	case
23	los	DET	24	det
24	violentos	ADJ	21	obj
25	.	PUNCT	8	punct