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:
María Teresa Alvarez, directora de Mujeres en la historia, narrará la evolución de la conciencia femenina, y Borja Casani, responsable del área de naturaleza de TVE, de la ecología.
Postion	Tokenization
1	María
2	Teresa
3	Alvarez
4	,
5	directora
6	de
7	Mujeres
8	en
9	la
10	historia
11	,
12	narrará
13	la
14	evolución
15	de
16	la
17	conciencia
18	femenina
19	,
20	y
21	Borja
22	Casani
23	,
24	responsable
25	del
26	área
27	de
28	naturaleza
29	de
30	TVE
31	,
32	de
33	la
34	ecología
35	.
Position	Tokenization	UPOS	Head	Deprel
1	María	PROPN	12	nsubj
2	Teresa	PROPN	1	flat
3	Alvarez	PROPN	1	flat
4	,	PUNCT	5	punct
5	directora	ADJ	1	appos
6	de	ADP	7	case
7	Mujeres	PROPN	5	nmod
8	en	ADP	10	case
9	la	DET	10	det
10	historia	PROPN	7	flat
11	,	PUNCT	5	punct
12	narrará	VERB	0	root
13	la	DET	14	det
14	evolución	NOUN	12	obj
15	de	ADP	17	case
16	la	DET	17	det
17	conciencia	NOUN	14	nmod
18	femenina	ADJ	17	amod
19	,	PUNCT	21	punct
20	y	CCONJ	21	cc
21	Borja	PROPN	12	conj
22	Casani	PROPN	21	flat
23	,	PUNCT	24	punct
24	responsable	NOUN	21	appos
25	del	ADP	26	case
26	área	NOUN	24	nmod
27	de	ADP	28	case
28	naturaleza	NOUN	26	nmod
29	de	ADP	30	case
30	TVE	PROPN	24	nmod
31	,	PUNCT	24	punct
32	de	ADP	34	case
33	la	DET	34	det
34	ecología	NOUN	21	nmod
35	.	PUNCT	12	punct