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, según se dice en Buenos Aires, incumplió cláusulas claves del contrato, vendió casi toda la flota y los edificios y redujo el activo a las rutas.
Postion	Tokenization
1	Pero
2	,
3	según
4	se
5	dice
6	en
7	Buenos
8	Aires
9	,
10	incumplió
11	cláusulas
12	claves
13	del
14	contrato
15	,
16	vendió
17	casi
18	toda
19	la
20	flota
21	y
22	los
23	edificios
24	y
25	redujo
26	el
27	activo
28	a
29	las
30	rutas
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Pero	CCONJ	5	advmod
2	,	PUNCT	5	punct
3	según	SCONJ	5	mark
4	se	PRON	5	expl:impers
5	dice	VERB	0	root
6	en	ADP	7	case
7	Buenos	PROPN	5	obl
8	Aires	PROPN	7	flat
9	,	PUNCT	5	punct
10	incumplió	VERB	5	advcl
11	cláusulas	NOUN	10	obj
12	claves	NOUN	11	nmod
13	del	ADP	14	case
14	contrato	NOUN	11	nmod
15	,	PUNCT	16	punct
16	vendió	VERB	10	advcl
17	casi	ADV	19	advmod
18	toda	DET	19	det
19	la	DET	20	det
20	flota	NOUN	16	obj
21	y	CCONJ	23	cc
22	los	DET	23	det
23	edificios	NOUN	20	conj
24	y	CCONJ	25	cc
25	redujo	VERB	10	conj
26	el	DET	27	det
27	activo	NOUN	25	obj
28	a	ADP	30	case
29	las	DET	30	det
30	rutas	NOUN	25	obl
31	.	PUNCT	5	punct