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:
"Teniendo en cuenta el día que es y el tiempo que ha hecho, estamos muy contentos", resumía al final del día Esteve Batlle, director de Wocom Events, promotora de la cita.
Postion	Tokenization
1	"
2	Teniendo
3	en
4	cuenta
5	el
6	día
7	que
8	es
9	y
10	el
11	tiempo
12	que
13	ha
14	hecho
15	,
16	estamos
17	muy
18	contentos
19	"
20	,
21	resumía
22	al
23	final
24	del
25	día
26	Esteve
27	Batlle
28	,
29	director
30	de
31	Wocom
32	Events
33	,
34	promotora
35	de
36	la
37	cita
38	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	18	punct
2	Teniendo	VERB	18	advcl
3	en	ADP	4	case
4	cuenta	NOUN	2	compound
5	el	DET	6	det
6	día	NOUN	2	obj
7	que	PRON	8	nsubj
8	es	AUX	6	acl
9	y	CCONJ	11	cc
10	el	DET	11	det
11	tiempo	NOUN	6	conj
12	que	PRON	14	obj
13	ha	AUX	14	aux
14	hecho	VERB	11	acl
15	,	PUNCT	2	punct
16	estamos	AUX	18	cop
17	muy	ADV	18	advmod
18	contentos	ADJ	21	ccomp
19	"	PUNCT	18	punct
20	,	PUNCT	18	punct
21	resumía	VERB	0	root
22	al	ADP	23	case
23	final	NOUN	21	obl
24	del	ADP	25	case
25	día	NOUN	23	nmod
26	Esteve	PROPN	21	nsubj
27	Batlle	PROPN	26	flat
28	,	PUNCT	29	punct
29	director	NOUN	26	appos
30	de	ADP	31	case
31	Wocom	PROPN	29	nmod
32	Events	PROPN	31	flat
33	,	PUNCT	34	punct
34	promotora	ADJ	31	amod
35	de	ADP	37	case
36	la	DET	37	det
37	cita	NOUN	34	nmod
38	.	PUNCT	21	punct