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:
La hija de María del Carmen Costa, que también se llama Carmen, afirmó ayer que la instalación era nueva, y subrayó que la espita de entrada del gas se cambió el pasado julio.
Postion	Tokenization
1	La
2	hija
3	de
4	María
5	del
6	Carmen
7	Costa
8	,
9	que
10	también
11	se
12	llama
13	Carmen
14	,
15	afirmó
16	ayer
17	que
18	la
19	instalación
20	era
21	nueva
22	,
23	y
24	subrayó
25	que
26	la
27	espita
28	de
29	entrada
30	del
31	gas
32	se
33	cambió
34	el
35	pasado
36	julio
37	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	hija	NOUN	15	nsubj
3	de	ADP	4	case
4	María	PROPN	2	nmod
5	del	ADP	6	case
6	Carmen	PROPN	4	flat
7	Costa	PROPN	6	flat
8	,	PUNCT	12	punct
9	que	PRON	12	nsubj
10	también	ADV	12	advmod
11	se	PRON	12	expl:pv
12	llama	VERB	2	acl
13	Carmen	PROPN	12	obj
14	,	PUNCT	12	punct
15	afirmó	VERB	0	root
16	ayer	ADV	15	advmod
17	que	SCONJ	21	mark
18	la	DET	19	det
19	instalación	NOUN	21	nsubj
20	era	AUX	21	cop
21	nueva	ADJ	15	ccomp
22	,	PUNCT	24	punct
23	y	CCONJ	24	cc
24	subrayó	VERB	15	conj
25	que	SCONJ	33	mark
26	la	DET	27	det
27	espita	NOUN	33	nsubj
28	de	ADP	29	case
29	entrada	NOUN	27	nmod
30	del	ADP	31	case
31	gas	NOUN	27	nmod
32	se	PRON	33	expl:pass
33	cambió	VERB	24	ccomp
34	el	DET	36	det
35	pasado	ADJ	36	amod
36	julio	NOUN	33	obl
37	.	PUNCT	15	punct