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:
Sa sœur Vanessa Lee Evigan est, elle aussi, actrice dans des séries américaines comme How I Met Your Mother.
Postion	Tokenization
1	Sa
2	sœur
3	Vanessa
4	Lee
5	Evigan
6	est
7	,
8	elle
9	aussi
10	,
11	actrice
12	dans
13	des
14	séries
15	américaines
16	comme
17	How
18	I
19	Met
20	Your
21	Mother
22	.
Position	Tokenization	UPOS	Head	Deprel
1	Sa	DET	2	det
2	sœur	NOUN	11	nsubj
3	Vanessa	PROPN	2	appos
4	Lee	PROPN	3	flat:name
5	Evigan	PROPN	4	flat:name
6	est	AUX	11	cop
7	,	PUNCT	8	punct
8	elle	PRON	11	obl:mod
9	aussi	ADV	8	advmod
10	,	PUNCT	8	punct
11	actrice	NOUN	0	root
12	dans	ADP	14	case
13	des	DET	14	det
14	séries	NOUN	11	nmod
15	américaines	ADJ	14	amod
16	comme	ADP	17	case
17	How	PROPN	14	nmod
18	I	PROPN	17	flat:name
19	Met	PROPN	18	flat:name
20	Your	PROPN	19	flat:name
21	Mother	PROPN	20	flat:name
22	.	PUNCT	11	punct