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:
Carvalho acababa de entrar en su despacho, tenía frío en los huesos - y una cierta sensación de haberse equivocado de día o de año.
Postion	Tokenization
1	Carvalho
2	acababa
3	de
4	entrar
5	en
6	su
7	despacho
8	,
9	tenía
10	frío
11	en
12	los
13	huesos
14	-
15	y
16	una
17	cierta
18	sensación
19	de
20	haberse
21	haber
22	se
23	equivocado
24	de
25	día
26	o
27	de
28	año
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Carvalho	PROPN	2	nsubj
2	acababa	VERB	0	root
3	de	ADP	4	mark
4	entrar	VERB	2	xcomp
5	en	ADP	7	case
6	su	DET	7	det
7	despacho	NOUN	2	obl
8	,	PUNCT	9	punct
9	tenía	VERB	4	advcl
10	frío	NOUN	9	obj
11	en	ADP	13	case
12	los	DET	13	det
13	huesos	NOUN	10	nmod
14	-	PUNCT	18	punct
15	y	CCONJ	18	cc
16	una	DET	18	det
17	cierta	DET	16	det
18	sensación	NOUN	10	conj
19	de	ADP	22	mark
20	haberse	_	None	_
21	haber	AUX	22	aux
22	se	PRON	22	expl:pv
23	equivocado	VERB	18	acl
24	de	ADP	24	case
25	día	NOUN	22	obj
26	o	CCONJ	27	cc
27	de	ADP	27	case
28	año	NOUN	24	conj
29	.	PUNCT	2	punct